Pith Number
pith:6C554KTE
pith:2025:6C554KTEHPIMJ5SKKJSOUISOAE
not attested
not anchored
not stored
refs pending
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
arxiv:2508.21589 v5 · 2025-08-29 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6C554KTEHPIMJ5SKKJSOUISOAE}
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.
Receipt and verification
| First computed | 2026-07-02T01:18:04.384417Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0bbde2a643bd0c4f64a5264ea224e010b5f5d4f8c47fae06f89f93ba7fcf47d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6C554KTEHPIMJ5SKKJSOUISOAE \
| 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: f0bbde2a643bd0c4f64a5264ea224e010b5f5d4f8c47fae06f89f93ba7fcf47d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "687733d8de5c2b9281f78bc17109107dcb0e39ce013f91d4c861255c2dca7ad2",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-29T12:47:27Z",
"title_canon_sha256": "4b794f07b400ae9ae90836a156b34a81433683255aea8520399b64af8fea6d07"
},
"schema_version": "1.0",
"source": {
"id": "2508.21589",
"kind": "arxiv",
"version": 5
}
}