Pith Number

pith:QYGOUEPQ

pith:2022:QYGOUEPQZB2E55RI4GDFDMVND4

not attested not anchored not stored refs pending

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Chi-Min Chan, Fuchao Wei, Guang Yang, Hai-Tao Zheng, Jianfei Chen, Jie Tang, Jing Yi, Juanzi Li, Maosong Sun, Ning Ding, Shengding Hu, Weilin Zhao, Weize Chen, Xiaozhi Wang, Yang Liu, Yujia Qin, Yulin Chen, Yusheng Su, Zhiyuan Liu, Zonghan Yang

arxiv:2203.06904 v2 · 2022-03-14 · cs.CL · cs.AI · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{QYGOUEPQZB2E55RI4GDFDMVND4}

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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

11 papers in Pith

Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey

Soft Specialists: $\alpha$-R\'enyi Ensembles for Uncertainty-Aware LLM Post-Training

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Receipt and verification

First computed	2026-07-05T04:05:18.260794Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

860cea11f0c8744ef628e18651b2ad1f2ae8409f56c7902171e29e50f5fc1595

Aliases

arxiv: 2203.06904 · arxiv_version: 2203.06904v2 · doi: 10.48550/arxiv.2203.06904 · pith_short_12: QYGOUEPQZB2E · pith_short_16: QYGOUEPQZB2E55RI · pith_short_8: QYGOUEPQ

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/QYGOUEPQZB2E55RI4GDFDMVND4 \
  | 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: 860cea11f0c8744ef628e18651b2ad1f2ae8409f56c7902171e29e50f5fc1595

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3bc428939b6af8733c84e6718e4f4b9e71183c408db4acadf5d68e87b4dac5ca",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2022-03-14T07:56:32Z",
    "title_canon_sha256": "564220939c48f18c6adae064ff695287c7178cc0044fa909e0eddc550332e8fd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2203.06904",
    "kind": "arxiv",
    "version": 2
  }
}