Pith Number
pith:DDNWSQC6
pith:2018:DDNWSQC6RFFAYGJKCICLUN546M
not attested
not anchored
not stored
refs pending
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
arxiv:1803.02642 v1 · 2018-03-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DDNWSQC6RFFAYGJKCICLUN546M}
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Record completeness
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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 | 2026-05-17T23:50:28.451564Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18db69405e894a0c192a1204ba37bcf322fa67f9639005e3c0224172ec9d289b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DDNWSQC6RFFAYGJKCICLUN546M \
| 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: 18db69405e894a0c192a1204ba37bcf322fa67f9639005e3c0224172ec9d289b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b7fbda0fa2f254a2f92cb1f5d9836292b4e1ed2b450601a8dfb1b9bd1ec4787",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-07T13:30:59Z",
"title_canon_sha256": "0e47e8f2f6f081d931599df468b900ec13414a195f6e04e0df2d823e99f46436"
},
"schema_version": "1.0",
"source": {
"id": "1803.02642",
"kind": "arxiv",
"version": 1
}
}