Pith Number
pith:MHARRIUX
pith:2017:MHARRIUXQFY4MOLM27PP4WEWWV
not attested
not anchored
not stored
refs pending
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale
arxiv:1704.02965 v2 · 2017-04-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MHARRIUXQFY4MOLM27PP4WEWWV}
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 | 2026-05-18T00:35:13.740563Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61c118a2978171c6396cd7defe5896b55bccf5a832fa2102d4f4bd9ddc06645b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MHARRIUXQFY4MOLM27PP4WEWWV \
| 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: 61c118a2978171c6396cd7defe5896b55bccf5a832fa2102d4f4bd9ddc06645b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8ecec04017758dc50c700539cd237ee176782a096a200aa3ab9e84ddaae67d2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-10T17:42:37Z",
"title_canon_sha256": "dadbe9e3190d537edf868a3b57ca3708354e178ec90ffe41aaace95bc0c99405"
},
"schema_version": "1.0",
"source": {
"id": "1704.02965",
"kind": "arxiv",
"version": 2
}
}