Pith Number
pith:MW6TZ22R
pith:2024:MW6TZ22R5VYT3Q5MSJUG3YSHPT
not attested
not anchored
not stored
refs pending
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
arxiv:2405.09839 v2 · 2024-05-16 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MW6TZ22R5VYT3Q5MSJUG3YSHPT}
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
✓
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 | 2026-07-05T10:26:37.825437Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65bd3ceb51ed713dc3ac92686de2477cc5e5e2d89783b38dabaccad88feb447a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MW6TZ22R5VYT3Q5MSJUG3YSHPT \
| 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: 65bd3ceb51ed713dc3ac92686de2477cc5e5e2d89783b38dabaccad88feb447a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b9fd0000c32f287f073acf18fe823f262db150c0ff2d6f9fbe1a980f32a860c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-16T06:35:42Z",
"title_canon_sha256": "3e8b49933d4ca6f257c197c68518f77c7b372a84df1f4f707e646ee5d7410a58"
},
"schema_version": "1.0",
"source": {
"id": "2405.09839",
"kind": "arxiv",
"version": 2
}
}