Pith Number
pith:VVZFLD2X
pith:2023:VVZFLD2XM52N6PYIPA6EWZFZGS
not attested
not anchored
not stored
refs pending
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
arxiv:2301.00622 v1 · 2023-01-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VVZFLD2XM52N6PYIPA6EWZFZGS}
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
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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 | 2026-07-05T05:29:48.429337Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad72558f576774df3f08783c4b64b934b94d63ec1a48a6e161481f0f40df12e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VVZFLD2XM52N6PYIPA6EWZFZGS \
| 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: ad72558f576774df3f08783c4b64b934b94d63ec1a48a6e161481f0f40df12e9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3f864f521e114940eca97b04cb89f02ff20dc1aebf1da81be6412d44049fa7c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-01-02T12:27:55Z",
"title_canon_sha256": "3d4776d9477f2e0235b168a3aaac8f38b30c142a669292230039bb2ef93afe07"
},
"schema_version": "1.0",
"source": {
"id": "2301.00622",
"kind": "arxiv",
"version": 1
}
}