Pith Number
pith:OBHUWVR7
pith:2023:OBHUWVR76YXXXGUD36M7ZXOQJZ
not attested
not anchored
not stored
refs pending
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs
arxiv:2304.14999 v1 · 2023-04-28 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OBHUWVR76YXXXGUD36M7ZXOQJZ}
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
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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 | 2026-07-05T06:05:23.149230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
704f4b563ff62f7b9a83df99fcddd04e413e8bbf815f3fe8a6b892c7a067c66d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OBHUWVR76YXXXGUD36M7ZXOQJZ \
| 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: 704f4b563ff62f7b9a83df99fcddd04e413e8bbf815f3fe8a6b892c7a067c66d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56cb79ae4a42e3e9ab8651141acaa3572e2cc35f2ce1930be14162175ea79a86",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-04-28T17:39:49Z",
"title_canon_sha256": "6341d174240cf91f2577c446e3accbdcd882120935a4c89832f0d6b3c8641825"
},
"schema_version": "1.0",
"source": {
"id": "2304.14999",
"kind": "arxiv",
"version": 1
}
}