Pith Number

pith:3IK7DXWL

pith:2023:3IK7DXWLOF53CEI42DDA4Y2EZ7

not attested not anchored not stored refs pending

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Ee-Peng Lim, Lei Wang, Lidong Bing, Roy Ka-Wei Lee, Soujanya Poria, Wanyu Xu, Xing Xu, Yihuai Lan, Zhiqiang Hu

arxiv:2304.01933 v3 · 2023-04-04 · cs.CL

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{3IK7DXWLOF53CEI42DDA4Y2EZ7}

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 open · sign in to claim

4 Citations open

5 Replications open

✓ 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

15 papers in Pith

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs

Feature Geometry of LoRA Adapters: A Sparse Autoencoder Analysis of Representational Divergence in Fine-Tuned Language Models

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs

Receipt and verification

First computed	2026-07-05T06:58:39.396116Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

da15f1decb717bb1111cd0c60e6344cfcf5c295f9add857395dd9b63b81de20c

Aliases

arxiv: 2304.01933 · arxiv_version: 2304.01933v3 · doi: 10.48550/arxiv.2304.01933 · pith_short_12: 3IK7DXWLOF53 · pith_short_16: 3IK7DXWLOF53CEI4 · pith_short_8: 3IK7DXWL

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IK7DXWLOF53CEI42DDA4Y2EZ7 \
  | 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: da15f1decb717bb1111cd0c60e6344cfcf5c295f9add857395dd9b63b81de20c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9bc749858cd0bc777912928eb16a03ceb7e9b38c0a93ff696520f2e191133755",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-04-04T16:31:37Z",
    "title_canon_sha256": "d24aa2060415e14b17d6a6af7bad2e83c499fc9d829d6a9afbc505bbf802143b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2304.01933",
    "kind": "arxiv",
    "version": 3
  }
}