Mistral KV
12K logical prompt with 8K physical slots
OrbitKV derives when model state can die, synthesizes its physical address plan, and authorizes block reuse only after semantic and GPU execution frontiers agree.
Compilation pipeline
Ring, append-only log, pinned region, and VMM are lowering choices. The checked lifetime program remains the source of truth.
Declare affine may_read(query, key) relations for persistent state.
Prove unbounded or fixed-window death from query-key distance constraints.
Partition state by retirement predicate, not token birth alone.
Emit append-only or periodic address programs and minimum slots.
Recorded systems evidence
The primary result loads the public gpt-oss-20b checkpoint on one H20. Controlled dummy fixtures remain separate geometry experiments; neither result claims model-quality improvement.
12K logical prompt with 8K physical slots
8K PureSWA versus 16K semantic reference
real gpt-oss-20b, same 1.979 GiB KV budget
balanced four-way real-checkpoint ablation
exact multi-scale-window reduction versus max-window allocation
−50.00%Mistral-7B, 12K prompt, 8K physical KV versus 16K referenceone H20; page 1; one request; identical output digest+25.81%openai/gpt-oss-20b, Full capacity 47,616 to 59,904same 1.979 GiB KV budget; no radix/spec/overlap/Graph−20.30%Owner32 vs Stock128, four balanced execution orders8 x 6000 prompt + 32 decode; identical output-token digests4 / 4predicted Full/SWA pools matched fresh SGLang processes exactlygpt-oss-20b, one H20, recorded 1.979 GiB KV budgetNext gates
The next work connects VMM generations to real KV storage and broadens Retention IR without weakening the in-process ownership contract.
Back real SGLang KV tensors with cost-approved VMM regions.
Compile Mamba state and continuation capsules.
Open source