Pith Number
pith:AZJ76JVB
pith:2026:AZJ76JVBPIYKXYULCLG6PDEXZB
not attested
not anchored
not stored
refs pending
FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration
arxiv:2606.28654 v1 · 2026-06-26 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AZJ76JVBPIYKXYULCLG6PDEXZB}
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 | 2026-06-30T01:16:46.033627Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0653ff26a17a30abe28b12cde78c97c85852ed6a989aac0e6a30c5beb3124d41
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AZJ76JVBPIYKXYULCLG6PDEXZB \
| 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: 0653ff26a17a30abe28b12cde78c97c85852ed6a989aac0e6a30c5beb3124d41
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "257fb2ce0d36bf382eb4529c4d829a029dbe8a58d371d7a9bc885bc4e6aebfa2",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-06-26T23:55:44Z",
"title_canon_sha256": "0b0b3541d1b199798846ac92e1628af84e34101ca26b1e62a1e8bd606c130b7c"
},
"schema_version": "1.0",
"source": {
"id": "2606.28654",
"kind": "arxiv",
"version": 1
}
}