Pith Number
pith:37LAPEF4
pith:2025:37LAPEF46CPKREY56TZQI37H6E
not attested
not anchored
not stored
refs pending
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
arxiv:2506.00420 v1 · 2025-05-31 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{37LAPEF46CPKREY56TZQI37H6E}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T11:13:34.474969Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dfd60790bcf09ea8931df4f3046fe7f1124e446c9da7474bfee46608d4d03be0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/37LAPEF46CPKREY56TZQI37H6E \
| 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: dfd60790bcf09ea8931df4f3046fe7f1124e446c9da7474bfee46608d4d03be0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "370d8fa1b8662dd6bd687154bc07844945025aff96b5c9a172e86d0f8e364ba5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-31T06:50:05Z",
"title_canon_sha256": "9fb4a59e16ff67f1f3a90999210b09d33ada541f66b7a28618f682e5f9197ac2"
},
"schema_version": "1.0",
"source": {
"id": "2506.00420",
"kind": "arxiv",
"version": 1
}
}