Pith Number

pith:6VRX2R4D

pith:2024:6VRX2R4DGFK6HSUEWLDWL74DAI

not attested not anchored not stored refs pending

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Eric Yeats, Hai Li, Hao Frank Yang, Jianyi Zhang, Jingwei Sun, Jingyang Zhang, Martin Kuo, Yang Ouyang

arxiv:2404.02936 v4 · 2024-04-03 · cs.CL · 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{6VRX2R4DGFK6HSUEWLDWL74DAI}

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

7 papers in Pith

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models

Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning

Amplifying Membership Signal Through Chained Regeneration

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs

Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models

Receipt and verification

First computed	2026-07-05T10:12:59.587285Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f5637d47833155e3ca84b2c765ff830227038b130e67c727957e7308e4b7ba15

Aliases

arxiv: 2404.02936 · arxiv_version: 2404.02936v4 · doi: 10.48550/arxiv.2404.02936 · pith_short_12: 6VRX2R4DGFK6 · pith_short_16: 6VRX2R4DGFK6HSUE · pith_short_8: 6VRX2R4D

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/6VRX2R4DGFK6HSUEWLDWL74DAI \
  | 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: f5637d47833155e3ca84b2c765ff830227038b130e67c727957e7308e4b7ba15

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "01ff0b1f342cb21a156b9ab043355c187f0dde3b0939c62de462b3deeeb9af37",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-04-03T04:25:01Z",
    "title_canon_sha256": "f0fdb309a9607432cfa18c08df6854603211cafdf36cd8c816addfad12822d9f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2404.02936",
    "kind": "arxiv",
    "version": 4
  }
}