Pith Number
pith:HEK7RUC7
pith:2025:HEK7RUC7X5BLZH33LLWE3VVVPN
not attested
not anchored
not stored
refs pending
DONOD: Efficient and Generalizable Instruction Fine-Tuning for LLMs via Model-Intrinsic Dataset Pruning
arxiv:2504.14810 v2 · 2025-04-21 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HEK7RUC7X5BLZH33LLWE3VVVPN}
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 | 2026-07-05T11:50:34.956076Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3915f8d05fbf42bc9f7b5aec4dd6b57b43c1e89f1b46d5e8ceb1099b24830344
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HEK7RUC7X5BLZH33LLWE3VVVPN \
| 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: 3915f8d05fbf42bc9f7b5aec4dd6b57b43c1e89f1b46d5e8ceb1099b24830344
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e66d505621d4aaade126d86521f81915a35e075b0c3ee00b87edf5d37b47ad8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-04-21T02:25:03Z",
"title_canon_sha256": "29ed230329e04c12968858fa1596cc5cac6d87cbdebea89b1ef964707d34d577"
},
"schema_version": "1.0",
"source": {
"id": "2504.14810",
"kind": "arxiv",
"version": 2
}
}