Unverified50% confidenceBenchmarkExact time
REMORY claims that a residual vector sequence of 32 dimensions can recover an 8K-token conversation with 95% fidelity.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
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Related Claims
UnverifiedOn a 64-bit system, a struct containing a 1-byte char and an 8-byte long may occupy 16 bytes rather than 9 bytes due to memory alignment, resulting in a waste rate as high as 44%.73% similarUnverifiedThe attention matrix size required to process a 128K token sequence is 256 times that of an 8K token sequence.72% similarUnverifiedThe conversational memory mechanism is essentially concatenating historical messages into the context window, so context length limits (e.g., 4K, 8K, 128K tokens) become a key constraint.71% similarUnverifiedA 262K token context means the model can process approximately 200,000 Chinese characters in a single conversation, at the cost of the KV cache occupying large amounts of VRAM and memory as the context grows.69% similarUnverifiedREMORY's residual decoder generates a bounded soft token sequence, each a 768-dimensional vector, stopping after N ≤ 64 tokens.69% similar
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