Pith Number
pith:EE7HFNZG
pith:2017:EE7HFNZGO77N4XBTDXI2LYOKMP
not attested
not anchored
not stored
refs pending
Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study
arxiv:1707.02642 v1 · 2017-07-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EE7HFNZGO77N4XBTDXI2LYOKMP}
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
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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 | 2026-05-18T00:40:36.271693Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
213e72b72677fede5c331dd1a5e1ca63e4c9c0c54f5bca5a53c874e7cadcd907
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EE7HFNZGO77N4XBTDXI2LYOKMP \
| 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: 213e72b72677fede5c331dd1a5e1ca63e4c9c0c54f5bca5a53c874e7cadcd907
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4268a387127fd89d8b2e521d29fd59c68f79c80bedcfb9a0bb0009b5cf0a5e5a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-07-09T21:35:54Z",
"title_canon_sha256": "873e932a7a8df45f31d3e3aaa5729c7fa57b0e23ca7881638bf228cf06d4a53f"
},
"schema_version": "1.0",
"source": {
"id": "1707.02642",
"kind": "arxiv",
"version": 1
}
}