Pith Number
pith:LTMK3ZBW
pith:2025:LTMK3ZBWFP25KKJ3CPIK2W3CCZ
not attested
not anchored
not stored
refs pending
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
arxiv:2501.11959 v1 · 2025-01-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTMK3ZBWFP25KKJ3CPIK2W3CCZ}
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
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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 | 2026-07-05T10:03:16.681017Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cd8ade4362bf5d5293b13d0ad5b621657fa70e1155909322641eb6073678c3d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTMK3ZBWFP25KKJ3CPIK2W3CCZ \
| 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: 5cd8ade4362bf5d5293b13d0ad5b621657fa70e1155909322641eb6073678c3d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c950e11a35d35318ec79a251fabd35dcc140b9503b4ff05fb9c7be4905041dd2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-21T08:10:02Z",
"title_canon_sha256": "9c07a8a242b88de465cf89caafb34d3c9048ebb346b2eadbc324ea13c3fb2e87"
},
"schema_version": "1.0",
"source": {
"id": "2501.11959",
"kind": "arxiv",
"version": 1
}
}