Pith Number
pith:DGN7Q33F
pith:2025:DGN7Q33F3Q3G6J33FNDSIFQSDM
not attested
not anchored
not stored
refs pending
Scale-Distribution Decoupling: Enabling Stable and Effective Training of Large Language Models
arxiv:2502.15499 v2 · 2025-02-21 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGN7Q33F3Q3G6J33FNDSIFQSDM}
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 | 2026-07-05T10:19:39.829657Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
199bf86f65dc366f277b2b472416121b2c13dc6bb05fcc93d9f7752379ffc242
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGN7Q33F3Q3G6J33FNDSIFQSDM \
| 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: 199bf86f65dc366f277b2b472416121b2c13dc6bb05fcc93d9f7752379ffc242
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5a85d82398ebb5c0a26707cf83430f797fcd00c70a0bd7b4b9b3bc962bb80f92",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-21T14:49:34Z",
"title_canon_sha256": "fb3acf45b4df9339c07f7e15c83d31051ae5b50350826badbcb666717fc8e188"
},
"schema_version": "1.0",
"source": {
"id": "2502.15499",
"kind": "arxiv",
"version": 2
}
}