Pith Number
pith:MQF4IHNJ
pith:2017:MQF4IHNJU5UNA2LDC7Z7FNHMY4
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A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data
arxiv:1702.07985 v1 · 2017-02-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MQF4IHNJU5UNA2LDC7Z7FNHMY4}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-05-18T00:49:56.466340Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
640bc41da9a768d0696317f3f2b4ecc71e04cefdf0f6c899c3201997dae7a973
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQF4IHNJU5UNA2LDC7Z7FNHMY4 \
| 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: 640bc41da9a768d0696317f3f2b4ecc71e04cefdf0f6c899c3201997dae7a973
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7daaf65016a96a8429c69d9b9dc27a9dfc29f23fd2631d448deaa36b546b14df",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-26T04:23:36Z",
"title_canon_sha256": "80fb3b432f0f317cd3c043b684ac03637f9ac92846ee885aaf947b4654529f9b"
},
"schema_version": "1.0",
"source": {
"id": "1702.07985",
"kind": "arxiv",
"version": 1
}
}