Pith Number
pith:FBFVB647
pith:2024:FBFVB647PB6MWLQO2XVDQ3B4WH
not attested
not anchored
not stored
refs pending
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
arxiv:2411.00914 v1 · 2024-11-01 · cs.LG · cs.AI · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FBFVB647PB6MWLQO2XVDQ3B4WH}
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 | 2026-07-05T09:29:52.390155Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
284b50fb9f787ccb2e0ed5ea386c3cb1e26d14c5c2a9fbf89d9fe5bdc0c81856
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FBFVB647PB6MWLQO2XVDQ3B4WH \
| 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: 284b50fb9f787ccb2e0ed5ea386c3cb1e26d14c5c2a9fbf89d9fe5bdc0c81856
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "542552e380a3f2874dcc7eb25b208aadecbfd9f62981fe3f43964fb4ddc60b8a",
"cross_cats_sorted": [
"cs.AI",
"cs.CE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-01T13:43:28Z",
"title_canon_sha256": "7cf8a4f785e95818fb8a3e3ccdccf6351ef221d6e780fa45684e0ece5c337506"
},
"schema_version": "1.0",
"source": {
"id": "2411.00914",
"kind": "arxiv",
"version": 1
}
}