Pith Number

pith:3FFDZBZK

pith:2024:3FFDZBZKPSWZJKNVPPSNZSSMT6

not attested not anchored not stored refs pending

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Chongyu Fan, Jiancheng Liu, Jinghan Jia, Ke Ding, Mingyi Hong, Sijia Liu, Xin Chen, Yihua Zhang, Yimeng Zhang

arxiv:2405.15234 v3 · 2024-05-24 · cs.CV · cs.CR

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{3FFDZBZKPSWZJKNVPPSNZSSMT6}

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

6 papers in Pith

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

Concept Removal for Frontier Image Generative Models

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

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM

Receipt and verification

First computed	2026-07-05T09:17:42.293845Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d94a3c872a7cad94a9b57be4dcca4c9f898694c4e1c494282c855f9ed3236cfb

Aliases

arxiv: 2405.15234 · arxiv_version: 2405.15234v3 · doi: 10.48550/arxiv.2405.15234 · pith_short_12: 3FFDZBZKPSWZ · pith_short_16: 3FFDZBZKPSWZJKNV · pith_short_8: 3FFDZBZK

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/3FFDZBZKPSWZJKNVPPSNZSSMT6 \
  | 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: d94a3c872a7cad94a9b57be4dcca4c9f898694c4e1c494282c855f9ed3236cfb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d251a51325ba41ac1d6bf586f848b7276a368ef91cc18ae5c85af550e52f4f61",
    "cross_cats_sorted": [
      "cs.CR"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-05-24T05:47:23Z",
    "title_canon_sha256": "696ffb03a44e3d4c6eaf080e42abfba9326f672a3330121b2b4badce7685d23c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2405.15234",
    "kind": "arxiv",
    "version": 3
  }
}