Pith Number
pith:LU7N65NB
pith:2025:LU7N65NBD4GFWMED35B3I2NK32
not attested
not anchored
not stored
refs pending
A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
arxiv:2505.06636 v1 · 2025-05-10 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LU7N65NBD4GFWMED35B3I2NK32}
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 | 2026-07-05T11:01:13.442998Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5d3edf75a11f0c5b3083df43b469aade8a6c7b7a26f8dfd2180f28c71b545756
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LU7N65NBD4GFWMED35B3I2NK32 \
| 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: 5d3edf75a11f0c5b3083df43b469aade8a6c7b7a26f8dfd2180f28c71b545756
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "775d6579f0c6fc0c372d0e7687b65fb25ec66cea6aa3a13b76cac73f0acec500",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-05-10T12:59:01Z",
"title_canon_sha256": "8032b5c4f95f42e21dc85a1d498b1334684ee1b0d7b4cd6d41c9ef963718249f"
},
"schema_version": "1.0",
"source": {
"id": "2505.06636",
"kind": "arxiv",
"version": 1
}
}