Pith Number
pith:GMKFNNXD
pith:2025:GMKFNNXDP5RWKFLE6GFOGVXQBC
not attested
not anchored
not stored
refs pending
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models
arxiv:2502.15950 v1 · 2025-02-21 · cs.LG · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMKFNNXDP5RWKFLE6GFOGVXQBC}
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 | 2026-07-05T10:18:18.907222Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
331456b6e37f63651564f18ae356f0088781b6f0517184238f6b841166f3054d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMKFNNXDP5RWKFLE6GFOGVXQBC \
| 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: 331456b6e37f63651564f18ae356f0088781b6f0517184238f6b841166f3054d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f0722d6de25663e7d09d87db38c7b273d1dfd257c9867c301967e7f4eb221f2e",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-21T21:27:48Z",
"title_canon_sha256": "81d174b60ba1bed421b79ed69dab96b2325952fb842b6e881a4991ed5157b435"
},
"schema_version": "1.0",
"source": {
"id": "2502.15950",
"kind": "arxiv",
"version": 1
}
}