Pith Number
pith:WFVHCD5U
pith:2026:WFVHCD5U56O53O3BI3BODDCLZ6
not attested
not anchored
not stored
refs pending
FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity
arxiv:2607.03763 v1 · 2026-07-04 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WFVHCD5U56O53O3BI3BODDCLZ6}
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 | 2026-07-07T02:18:06.375563Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b16a710fb4ef9dddbb6146c2e18c4bcfa658040e6ea9a7f358d712166065dc01
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WFVHCD5U56O53O3BI3BODDCLZ6 \
| 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: b16a710fb4ef9dddbb6146c2e18c4bcfa658040e6ea9a7f358d712166065dc01
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac0d0f4144540dd6931b6039951291cc28f673cfc4675dd6a09a498ff924ff0f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-04T08:31:49Z",
"title_canon_sha256": "c45e2378ab90e5c565cd96a36ba4f99dc7da4e6174b6a654807c14a2892d7c12"
},
"schema_version": "1.0",
"source": {
"id": "2607.03763",
"kind": "arxiv",
"version": 1
}
}