Pith Number
pith:URA5QCHK
pith:2023:URA5QCHKJKM3VXZ3DBD7FRHFN7
not attested
not anchored
not stored
refs pending
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
arxiv:2306.10347 v2 · 2023-06-17 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{URA5QCHKJKM3VXZ3DBD7FRHFN7}
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 | 2026-07-05T06:59:33.242471Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a441d808ea4a99badf3b1847f2c4e56fd579872f495b8563e779610c78673cf3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/URA5QCHKJKM3VXZ3DBD7FRHFN7 \
| 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: a441d808ea4a99badf3b1847f2c4e56fd579872f495b8563e779610c78673cf3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5ac05d9778c25222adfc58d787ee9abc14774deac5dfee4f61e37a910a340b30",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-17T13:40:15Z",
"title_canon_sha256": "e006ef044f84898a81093acdac6203a62256c1cd3e101543cbcc27cb78bb9e09"
},
"schema_version": "1.0",
"source": {
"id": "2306.10347",
"kind": "arxiv",
"version": 2
}
}