Pith Number
pith:5XEJ6PJF
pith:2024:5XEJ6PJF4JNY7QKTSJCUREGGEW
not attested
not anchored
not stored
refs pending
Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention Networks
arxiv:2412.02531 v1 · 2024-12-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5XEJ6PJF4JNY7QKTSJCUREGGEW}
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 | 2026-07-05T09:43:51.341822Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
edc89f3d25e25b8fc15392454890c625be121f76ab9243f51803325b3df240dd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5XEJ6PJF4JNY7QKTSJCUREGGEW \
| 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: edc89f3d25e25b8fc15392454890c625be121f76ab9243f51803325b3df240dd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dcb0c029028423282b8a4cd1b8c5e5def1f8e06d4e85482d850530497568b17b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-03T16:24:16Z",
"title_canon_sha256": "e937284ccbc1dc2b3847f627e8d85e27f1c94dde5aa14d95185102f4449e040e"
},
"schema_version": "1.0",
"source": {
"id": "2412.02531",
"kind": "arxiv",
"version": 1
}
}