Pith Number
pith:2ZAH25VN
pith:2025:2ZAH25VNDGBTW3VNO6STPDFXDU
not attested
not anchored
not stored
refs pending
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
arxiv:2506.03964 v1 · 2025-06-04 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ZAH25VNDGBTW3VNO6STPDFXDU}
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 | 2026-07-05T11:15:54.604148Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d6407d76ad19833b6ead77a5378cb71d334ebc6c81caf02590bc8faa25ff1ea4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ZAH25VNDGBTW3VNO6STPDFXDU \
| 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: d6407d76ad19833b6ead77a5378cb71d334ebc6c81caf02590bc8faa25ff1ea4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a1d84c1ca7334934c949cdf15f141f05eb78b51824f0c777ae71c82fd62aa30",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-04T13:57:11Z",
"title_canon_sha256": "c0fe189fce03d97e6aa5a25e31032cd377e65e68a2f45f0d20aea4c9c16e9886"
},
"schema_version": "1.0",
"source": {
"id": "2506.03964",
"kind": "arxiv",
"version": 1
}
}