Pith Number
pith:UX25XZ2T
pith:2019:UX25XZ2TLCIZKDAZMKLWXSXBU5
not attested
not anchored
not stored
refs pending
Effectiveness of Data Augmentation in Cellular-based Localization Using Deep Learning
arxiv:1906.08171 v1 · 2019-06-11 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UX25XZ2TLCIZKDAZMKLWXSXBU5}
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 | 2026-05-17T23:42:54.427769Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5f5dbe7535891950c1962976bcae1a7530888cee622ebdfcd030b59e7eaa727
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UX25XZ2TLCIZKDAZMKLWXSXBU5 \
| 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: a5f5dbe7535891950c1962976bcae1a7530888cee622ebdfcd030b59e7eaa727
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56e5476e957fb6280dbfce41ff9feedfd556339513173f5d6c2e2c230c0398f2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-06-11T20:17:05Z",
"title_canon_sha256": "e7d0d1895d93e30c195d059a849f0dc3c086b4d31f7a25433ec74e968e2825c0"
},
"schema_version": "1.0",
"source": {
"id": "1906.08171",
"kind": "arxiv",
"version": 1
}
}