Pith Number
pith:OX7MJV5X
pith:2025:OX7MJV5XQ7FOUFGDYTKNAE2CXW
not attested
not anchored
not stored
refs pending
Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs
arxiv:2505.13026 v3 · 2025-05-19 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OX7MJV5XQ7FOUFGDYTKNAE2CXW}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T11:48:03.839497Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
75fec4d7b787caea14c3c4d4d01342bda56175b5def09f7d85f11038f7dcb85c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OX7MJV5XQ7FOUFGDYTKNAE2CXW \
| 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: 75fec4d7b787caea14c3c4d4d01342bda56175b5def09f7d85f11038f7dcb85c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a79668bd3bde71c4d8374d8d88aca4e1b22effffb5d1236861d24ade599143b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-19T12:10:17Z",
"title_canon_sha256": "006b4604d3bdfb86be8985f535abb3d95a6f01e0a91c3c202c7e31fe57553d56"
},
"schema_version": "1.0",
"source": {
"id": "2505.13026",
"kind": "arxiv",
"version": 3
}
}