pith:TXHVVOCU
C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis
Upper bounds on score discrepancy between conditional and unconditional distributions justify replacing fixed guidance weights with time-dependent control in diffusion models.
arxiv:2603.08155 v3 · 2026-03-09 · cs.LG
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Claims
we establish strict upper bounds on the score discrepancy between conditional and unconditional distributions at different timesteps based on the diffusion process. This finding explains the limitations of fixed-weight strategies and establishes a principled foundation for time-dependent guidance.
The assumption that an exponential decay control function optimally aligns with the derived upper bounds on score discrepancy across timesteps and generalizes without task-specific fitting or post-hoc adjustments.
C²FG provides a time-dependent exponential decay control for classifier-free guidance based on theoretical upper bounds on conditional-unconditional score discrepancies in diffusion processes.
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| First computed | 2026-05-21T01:04:24.421698Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9dcf5ab8541b8b08928313dc7996d10498dd03c81b6c09c9947022af60640317
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TXHVVOCUDOFQREUDCPOHTFWRAS \
| 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())"
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Canonical record JSON
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