Pith Number
pith:G2NFR3QG
pith:2024:G2NFR3QGCKDYGQ72MTR73M3MCM
not attested
not anchored
not stored
refs pending
Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining
arxiv:2412.15285 v1 · 2024-12-18 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G2NFR3QGCKDYGQ72MTR73M3MCM}
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 | 2026-07-05T09:52:20.764786Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
369a58ee0612878343fa64e3fdb36c1331bc0a9f99fbf2d7a98f4c75d4d98fd6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G2NFR3QGCKDYGQ72MTR73M3MCM \
| 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: 369a58ee0612878343fa64e3fdb36c1331bc0a9f99fbf2d7a98f4c75d4d98fd6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "94ca532d542ecf4c40eb09d2c0dcabb99bef9e40479653e52448d2965008f655",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-18T18:41:18Z",
"title_canon_sha256": "b321559c408e2019c6282fafa7e98f10d555b26e29e38cee8d204b7907809a22"
},
"schema_version": "1.0",
"source": {
"id": "2412.15285",
"kind": "arxiv",
"version": 1
}
}