Pith Number
pith:YMB6FD3V
pith:2026:YMB6FD3VUHAOZZM5S2EKHCDQYB
not attested
not anchored
not stored
refs pending
Efficient Pre-Training of LLMs through Truncated SVD Layers
arxiv:2605.28573 v1 · 2026-05-27 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YMB6FD3VUHAOZZM5S2EKHCDQYB}
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 | 2026-05-28T02:04:56.724594Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c303e28f75a1c0ece59d9688a38870c069ac6c70c05bac378057397eb2c6c637
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YMB6FD3VUHAOZZM5S2EKHCDQYB \
| 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: c303e28f75a1c0ece59d9688a38870c069ac6c70c05bac378057397eb2c6c637
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af356da724cc59e640610e115b528365a7389b4524df8b4b3b9741ba514c069f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-27T14:57:49Z",
"title_canon_sha256": "bf2ca3944fc67fde938cd437b393afe539c07229f9593f009f4fc5476e8094e8"
},
"schema_version": "1.0",
"source": {
"id": "2605.28573",
"kind": "arxiv",
"version": 1
}
}