Pith Number
pith:KDDH4P5R
pith:2024:KDDH4P5RKNQWW73PEIQLHP54KT
not attested
not anchored
not stored
refs pending
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
arxiv:2404.15384 v1 · 2024-04-23 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KDDH4P5RKNQWW73PEIQLHP54KT}
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 | 2026-07-05T08:11:27.039242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50c67e3fb153616b7f6f2220b3bfbc54c852d191aef94cb523e82620b31675e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KDDH4P5RKNQWW73PEIQLHP54KT \
| 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: 50c67e3fb153616b7f6f2220b3bfbc54c852d191aef94cb523e82620b31675e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3b0d330dce80083c48c3d3b52d62c7eda4db9d7498ad0996b00a3c239437583a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-04-23T10:50:38Z",
"title_canon_sha256": "26fd44aaac7c58b2551d5282fd3727fd6424b59e22d094356c2c3abb32228bf0"
},
"schema_version": "1.0",
"source": {
"id": "2404.15384",
"kind": "arxiv",
"version": 1
}
}