Pith Number

pith:QSH7WNR6

pith:2024:QSH7WNR6VQJO74CYH6L3ZLETWR

not attested not anchored not stored refs pending

UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models

Chongyu Fan, Gaowen Liu, Gaoyuan Zhang, Jiancheng Liu, Jinghan Jia, Ramana Rao Kompella, Sijia Liu, Xiaoming Liu, Yihua Zhang, Yimeng Zhang, Yuguang Yao

arxiv:2402.11846 v4 · 2024-02-19 · cs.CV

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{QSH7WNR6VQJO74CYH6L3ZLETWR}

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

5 papers in Pith

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior

Machine Unlearning: A Comprehensive Survey

Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models

Representation-Guided Parameter-Efficient LLM Unlearning

Receipt and verification

First computed	2026-07-05T09:28:10.729561Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

848ffb363eac12eff0583f97bcac93b465e469f5badbdbe71f3e90c63bae8d14

Aliases

arxiv: 2402.11846 · arxiv_version: 2402.11846v4 · doi: 10.48550/arxiv.2402.11846 · pith_short_12: QSH7WNR6VQJO · pith_short_16: QSH7WNR6VQJO74CY · pith_short_8: QSH7WNR6

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/QSH7WNR6VQJO74CYH6L3ZLETWR \
  | 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: 848ffb363eac12eff0583f97bcac93b465e469f5badbdbe71f3e90c63bae8d14

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9f607cfab14f703e9c34019064c75537fdf590ec4d2b1be3bddec4bfacfc75c9",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-02-19T05:25:53Z",
    "title_canon_sha256": "e864147bc436a1fc916195e3a6a49c3ed4fde0521d2d97620ec4e390f4a762c8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.11846",
    "kind": "arxiv",
    "version": 4
  }
}