Pith Number
pith:YS3KCQVR
pith:2024:YS3KCQVRGOKIJ4447W37HTXGDA
not attested
not anchored
not stored
refs pending
Can LLMs Understand Time Series Anomalies?
arxiv:2410.05440 v3 · 2024-10-07 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YS3KCQVRGOKIJ4447W37HTXGDA}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:29:24.318639Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c4b6a142b1339484f39cfdb7f3cee6183061594ea03c8853b37ed11d46e64e55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YS3KCQVRGOKIJ4447W37HTXGDA \
| 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: c4b6a142b1339484f39cfdb7f3cee6183061594ea03c8853b37ed11d46e64e55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1fc0f93bda7bf387c0887636f2b7a559248ee74c76cfa1512362de5f4e399a0a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-07T19:16:02Z",
"title_canon_sha256": "4bb04341157033f062868e981631f4513f2b36f625c94a3e3b7fbd9b1241662e"
},
"schema_version": "1.0",
"source": {
"id": "2410.05440",
"kind": "arxiv",
"version": 3
}
}