Pith Number
pith:S67SKJR5
pith:2016:S67SKJR5R5WG4HJH27MAECP2OA
not attested
not anchored
not stored
refs pending
Recurrent Neural Networks to Correct Satellite Image Classification Maps
arxiv:1608.03440 v3 · 2016-08-11 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S67SKJR5R5WG4HJH27MAECP2OA}
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 | 2026-05-18T00:46:02.547002Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
97bf25263d8f6c6e1d27d7d80209fa703e02cb6e0cdd14280b7af32b2cf6d8f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S67SKJR5R5WG4HJH27MAECP2OA \
| 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: 97bf25263d8f6c6e1d27d7d80209fa703e02cb6e0cdd14280b7af32b2cf6d8f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6e4c3fc71cdbf94b7ec0eb63584532122b3f66c9f6058738aa60a66ede1409f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-08-11T12:49:46Z",
"title_canon_sha256": "72c742cede0aada8726168de5e39c38906a77b31fc294ce8b61a8c6067efd245"
},
"schema_version": "1.0",
"source": {
"id": "1608.03440",
"kind": "arxiv",
"version": 3
}
}