Pith Number
pith:2R4SERMQ
pith:2025:2R4SERMQECTQUTMTWYFYWN3VGX
not attested
not anchored
not stored
refs pending
Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
arxiv:2507.22565 v1 · 2025-07-30 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2R4SERMQECTQUTMTWYFYWN3VGX}
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.
Receipt and verification
| First computed | 2026-07-05T11:45:44.632630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d47922459020a70a4d93b60b8b377535c6210c95aa0a4f7671d7bb6e1a86a927
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2R4SERMQECTQUTMTWYFYWN3VGX \
| 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: d47922459020a70a4d93b60b8b377535c6210c95aa0a4f7671d7bb6e1a86a927
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96e0137952c9f029142e364b5417e0a87f555c10a81fb509eed67a24d8919438",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-30T10:46:53Z",
"title_canon_sha256": "a662caf0ca930386d8c9be719b786ad1f08fbf0fd2f08a7cc362a522566d97e8"
},
"schema_version": "1.0",
"source": {
"id": "2507.22565",
"kind": "arxiv",
"version": 1
}
}