Pith Number
pith:2HLYZVJD
pith:2025:2HLYZVJDJO5USWHLRXT6NU7YY7
not attested
not anchored
not stored
refs pending
Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
arxiv:2509.03290 v1 · 2025-09-03 · cs.NI · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2HLYZVJDJO5USWHLRXT6NU7YY7}
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
✓
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 | 2026-07-05T12:04:19.907525Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1d78cd5234bbb4958eb8de7e6d3f8c7d2e6ebbff694ef7a391d58dab9058a59
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2HLYZVJDJO5USWHLRXT6NU7YY7 \
| 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: d1d78cd5234bbb4958eb8de7e6d3f8c7d2e6ebbff694ef7a391d58dab9058a59
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e94342583cf027d127ea537c5ba4c5922fa6a25a84703043495251fd93077798",
"cross_cats_sorted": [
"cs.LG",
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2025-09-03T13:18:41Z",
"title_canon_sha256": "03642be132315fbec3ef5bb4169ed148ca0e8264b2bada051a928339ce60dd75"
},
"schema_version": "1.0",
"source": {
"id": "2509.03290",
"kind": "arxiv",
"version": 1
}
}