pith:5RQPEQ4Y
Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models
Self-attention layers localize the implicit decisions that resolve ambiguous prompts in diffusion models.
arxiv:2604.06052 v2 · 2026-03-29 · cs.CV
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Record completeness
Claims
Our findings indicate that the resolution of ambiguous concepts is governed principally by self-attention layers, identifying them as the most effective point for intervention.
That the probing-based localization technique identifies layers responsible for implicit decisions separately from explicit prompt conditioning, and that interventions on these layers causally affect the generative choices without major unintended effects.
Implicit generative choices in diffusion models for ambiguous prompts are localized principally in self-attention layers, enabling a targeted ICM steering method that outperforms prior debiasing approaches.
Formal links
Receipt and verification
| First computed | 2026-06-03T01:05:50.271915Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec60f243988c40f53b8379b5603340273dc872d908d3376e33749057162b4bf9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5RQPEQ4YRRAPKO4DPG2WAM2AE4 \
| 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: ec60f243988c40f53b8379b5603340273dc872d908d3376e33749057162b4bf9
Canonical record JSON
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