pith:QIGCND7F
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
A small set of massive activation channels in Diffusion Transformers controls image semantics in function, space, and transfer.
arxiv:2605.13974 v1 · 2026-05-13 · cs.CV · cs.AI · cs.MM
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Claims
despite their sparsity, these few channels effectively draw the whole picture, in three complementary senses: functionally critical, spatially organized, and transferable.
That the identification of massive channels via magnitude statistics is stable across prompts and models and that the controlled disruption probe isolates their causal role without confounding effects from the rest of the network dynamics.
A sparse set of massive activation channels in DiTs carries semantic information, proven critical by disruption tests, spatially aligned with image subjects via clustering, and transferable for semantic interpolation between prompts.
References
Receipt and verification
| First computed | 2026-05-17T23:39:13.458382Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
820c268fe5e901da53252a246088bc5d17b86e8743f2d57332aefa6ff59f0df3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QIGCND7F5EA5UUZFFISGBCF4LU \
| 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: 820c268fe5e901da53252a246088bc5d17b86e8743f2d57332aefa6ff59f0df3
Canonical record JSON
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