Pith Number
pith:QNKQ5HG4
pith:2023:QNKQ5HG4ZVMXTI4YAELQR6YL4V
not attested
not anchored
not stored
refs pending
Does Synthetic Data Make Large Language Models More Efficient?
arxiv:2310.07830 v1 · 2023-10-11 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QNKQ5HG4ZVMXTI4YAELQR6YL4V}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T06:59:57.138956Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
83550e9cdccd5979a398011708fb0be55f6b5fbbe2665bc47a5717ed2bfbf3d9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QNKQ5HG4ZVMXTI4YAELQR6YL4V \
| 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: 83550e9cdccd5979a398011708fb0be55f6b5fbbe2665bc47a5717ed2bfbf3d9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28c28b1c96343c04ef70e02d87099451eb521ee6c66135e254803bc1715d24c2",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-11T19:16:09Z",
"title_canon_sha256": "27225503eb30901d9c0eab552f531e41cd23dc7899e51d7d2a614a9655f10d0e"
},
"schema_version": "1.0",
"source": {
"id": "2310.07830",
"kind": "arxiv",
"version": 1
}
}