Pith Number
pith:4OPPEZYD
pith:2025:4OPPEZYDPIZPUSILFDOQDEVLHT
not attested
not anchored
not stored
refs pending
Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
arxiv:2502.11458 v1 · 2025-02-17 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4OPPEZYDPIZPUSILFDOQDEVLHT}
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 | 2026-07-05T10:15:29.077770Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e39ef267037a32fa490b28dd0192ab3cc688c146dc2f6902336d3e5199910f14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4OPPEZYDPIZPUSILFDOQDEVLHT \
| 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: e39ef267037a32fa490b28dd0192ab3cc688c146dc2f6902336d3e5199910f14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "452f49e8efe7a26d34617aaa17cd0acf8677bdbb2c2ef3b74761886e2d7513ec",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-17T05:33:11Z",
"title_canon_sha256": "c1ee292fc10ff2c9ceb3431a5bda3ee0f9a074c684accee0e9660e313108398e"
},
"schema_version": "1.0",
"source": {
"id": "2502.11458",
"kind": "arxiv",
"version": 1
}
}