Pith Number
pith:Q4UPIZY3
pith:2026:Q4UPIZY3BAY2UZRWWTV3N6XZQY
not attested
not anchored
not stored
refs pending
Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection
arxiv:2606.03084 v1 · 2026-06-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q4UPIZY3BAY2UZRWWTV3N6XZQY}
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 | 2026-06-03T01:05:31.189525Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8728f4671b0831aa6636b4ebb6faf98637c88954e3c1c4ab5ee9e24571c860f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q4UPIZY3BAY2UZRWWTV3N6XZQY \
| 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: 8728f4671b0831aa6636b4ebb6faf98637c88954e3c1c4ab5ee9e24571c860f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e7bebe6d7e7014c7f467034d0014bf2b7521fd0ce5eaf27446ddf0133051103",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-06-02T03:14:26Z",
"title_canon_sha256": "d0108f80b77c3d57a413234a07843f0bfec5a4b800bda05a3a5461f22955358b"
},
"schema_version": "1.0",
"source": {
"id": "2606.03084",
"kind": "arxiv",
"version": 1
}
}