pith:NTWZA4UI
Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
Orthrus adds a lightweight diffusion view to frozen LLMs so they can generate tokens in parallel while matching standard autoregressive output exactly.
arxiv:2605.12825 v1 · 2026-05-12 · cs.LG · cs.AI
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Claims
By employing an exact consensus mechanism between the two views, Orthrus guarantees lossless inference, delivering up to a 7.8x speedup with only an O(1) memory cache overhead and minimal parameter additions.
The exact consensus mechanism between the autoregressive and diffusion views will always produce identical output to standard autoregressive decoding without introducing any quality degradation or requiring additional training data.
Orthrus unifies autoregressive and diffusion views on a shared KV cache to deliver lossless parallel token generation with up to 7.8x speedup and O(1) memory overhead.
References
Receipt and verification
| First computed | 2026-05-18T03:09:12.165558Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ced9072883f6e51b014d86ba8343b721440c455dacebe62c1984fdc7475b308
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NTWZA4UIH5XFDMAU3BV2QNB3OI \
| 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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