Recurrent State Approach
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Recurrent State Approach has 9 facts recorded in Dontopedia across 2 references.
Mostly:superior for long sequences(1), better than kv cache(1), has o1 complexity per token(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (9)
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| Predicate | Value | Ref |
|---|---|---|
| Superior for Long Sequences | Long Sequences | [1] |
| Better Than Kv Cache | Kv Cache | [1] |
| Has O1 Complexity Per Token | O1 Per Token | [1] |
| Has O Complexity D State | Od State | [1] |
| Rdf:type | Optimization Strategy | [2] |
| Computational Complexity Per Token | O(1) | [2] |
| State Complexity | O(d) | [2] |
| Compared to | Kv Cache | [2] |
| Advantageous Scenario | long sequences | [2] |
Timeline
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References (2)
ctx:discord/blah/watt-activation/part-157ctx:discord/blah/watt-activation/157- full textwatt-activation-157text/plain2 KB
doc:agent/watt-activation-157/33269747-5dbc-4dc7-9124-96c422617a89Show excerpt
[2026-03-09 16:19] xenonfun: ❯ okay we have optimal caching and other optimizations in the inferance yet? ⏺ No, not really. The main gaps: 1. Prefill is token-by-token — the biggest issue. We process each prompt token through step() sequ…
See also
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