Pith Number
pith:DTM4J6R6
pith:2020:DTM4J6R6ZEWP7N2FHNDQP6MLUU
not attested
not anchored
not stored
refs pending
Model Generalization in Deep Learning Applications for Land Cover Mapping
arxiv:2008.10351 v3 · 2020-08-09 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DTM4J6R6ZEWP7N2FHNDQP6MLUU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:50:19.517629Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1cd9c4fa3ec92cffb7453b4707f98ba51cf2d69e150084eb47066852a5e2efe1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DTM4J6R6ZEWP7N2FHNDQP6MLUU \
| 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: 1cd9c4fa3ec92cffb7453b4707f98ba51cf2d69e150084eb47066852a5e2efe1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0037cb57bcc51e6f62286de71ac9487c285f10ee07bf1e09dbf0a2c562ba1231",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-08-09T01:50:52Z",
"title_canon_sha256": "48876265e165d1c7bc66810ccf5442277b553f3c81c0174bb7c3ffc1f03e403d"
},
"schema_version": "1.0",
"source": {
"id": "2008.10351",
"kind": "arxiv",
"version": 3
}
}