Pith Number
pith:LJSMJK2N
pith:2020:LJSMJK2NKPP5LGLR2AEMCOZ6PT
not attested
not anchored
not stored
refs pending
On the importance of pre-training data volume for compact language models
arxiv:2010.03813 v2 · 2020-10-08 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LJSMJK2NKPP5LGLR2AEMCOZ6PT}
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 | 2026-07-05T01:41:34.298791Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a64c4ab4d53dfd59971d008c13b3e7cec121d68ce8c4dc9dc9727fc858de705
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LJSMJK2NKPP5LGLR2AEMCOZ6PT \
| 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: 5a64c4ab4d53dfd59971d008c13b3e7cec121d68ce8c4dc9dc9727fc858de705
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96f53579918cdcf762e8d3d6b74dba49288c9f9e5e5a3e5f69385d71f7b779b9",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-10-08T07:40:21Z",
"title_canon_sha256": "ae68b01def93249a5f5e37ec63b1a7a56fd43bffd978784fb129ff077a5fa85f"
},
"schema_version": "1.0",
"source": {
"id": "2010.03813",
"kind": "arxiv",
"version": 2
}
}