Pith Number

pith:5VFHDF2D

pith:2024:5VFHDF2DJYTXQJE4UIKD3HSGOC

not attested not anchored not stored refs pending

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

Da Li, Ruchika Chavhan, Timothy Hospedales

arxiv:2405.19237 v1 · 2024-05-29 · cs.CV · 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{5VFHDF2DJYTXQJE4UIKD3HSGOC}

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

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models

Receipt and verification

First computed	2026-07-05T08:24:49.771890Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ed4a7197434e2778249ca2143d9e4670ab3fae6fe328eeedb07a9ce1d2a8e815

Aliases

arxiv: 2405.19237 · arxiv_version: 2405.19237v1 · doi: 10.48550/arxiv.2405.19237 · pith_short_12: 5VFHDF2DJYTX · pith_short_16: 5VFHDF2DJYTXQJE4 · pith_short_8: 5VFHDF2D

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/5VFHDF2DJYTXQJE4UIKD3HSGOC \
  | 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: ed4a7197434e2778249ca2143d9e4670ab3fae6fe328eeedb07a9ce1d2a8e815

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "db296409b56d390893d14d620ea4ce9fb0d92b631d6dc3a07a24c2112e334717",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-05-29T16:19:37Z",
    "title_canon_sha256": "09be01805eaa21978e7aa907e01c8d14d7aca63273709d3efee00d024ea9807a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2405.19237",
    "kind": "arxiv",
    "version": 1
  }
}