Pith Number
pith:FN52Q3Z4
pith:2024:FN52Q3Z4I7MC42RSMHUO7F6DN7
not attested
not anchored
not stored
refs pending
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network
arxiv:2411.17218 v1 · 2024-11-26 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FN52Q3Z4I7MC42RSMHUO7F6DN7}
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 | 2026-07-05T09:40:29.157582Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b7ba86f3c47d82e6a3261e8ef97c36fd6a042ddc3e8cde3d63a9f5f09561334
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FN52Q3Z4I7MC42RSMHUO7F6DN7 \
| 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: 2b7ba86f3c47d82e6a3261e8ef97c36fd6a042ddc3e8cde3d63a9f5f09561334
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "358fc5358682e738f36aab336e207eaf85dab56e930711f641ddab9f1c13556c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-26T08:36:07Z",
"title_canon_sha256": "ce0bdbb433323f06b91644e2f45dd8c7bd69d1c0eb996afebb8891b965bbdcdf"
},
"schema_version": "1.0",
"source": {
"id": "2411.17218",
"kind": "arxiv",
"version": 1
}
}