Pith Number
pith:DGLFTKIY
pith:2023:DGLFTKIYPIBFFT3BFFODCZANN6
not attested
not anchored
not stored
refs pending
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
arxiv:2308.11464 v2 · 2023-08-22 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGLFTKIYPIBFFT3BFFODCZANN6}
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
· sign in to
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:49:13.350269Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
199659a9187a0252cf61295c31640d6f9e115e91c5c97e168f7a29d5c8caca28
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGLFTKIYPIBFFT3BFFODCZANN6 \
| 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: 199659a9187a0252cf61295c31640d6f9e115e91c5c97e168f7a29d5c8caca28
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ec53eb79f399bada1caac85631acb8a908ebedef4c90de8fcd6c0a2cccda1dd",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-08-22T14:23:21Z",
"title_canon_sha256": "c4630fea13707d29bbb3a0c6c9f46ff637302d4883ea39b7e488af1e91f7b317"
},
"schema_version": "1.0",
"source": {
"id": "2308.11464",
"kind": "arxiv",
"version": 2
}
}