One precise claim, with explicit scope boundaries. Read this before evaluating the benchmark results.
A Bounded State Engine can maintain validated telemetry fact recall across millions of archived operational records, with deterministic query cost, without replaying the full archive as model context.
After ingesting N telemetry records, the system can answer a factual probe question about any specific past record by routing archive state through a fixed mathematical boundary · a small, fixed-size evidence packet · and passing only that packet to the model. The model answers from the packet, not from the full archive.
Recall is measured as: probes passed / probes issued. A probe passes when the model answer cites or matches the specific measurable value from the source record (speed, heading, object class, timestamp, or similar).
In all certified benchmark runs, every probe passed. No probes were dropped or excluded from scoring.
Scope · what the claim applies to
What the claim does not cover
"Bit-exact evidence custody." Each ingested record is stored with a deterministic identity. The retrieval system returns the exact stored record, not a reconstruction or approximation.
"Bounded State Engine." For a given query and archive state, TeleMemetry routes evidence deterministically through a fixed token boundary, regardless of archive depth.
"Validated 100% telemetry fact recall within benchmark scope." 100% recall is a measured result across documented runs, not a theoretical property. The scope boundary is the benchmark configuration.
"Bit-perfect recall everywhere" · too broad, not validated outside benchmark scope.
"Industry-changing" or similar · unsupported, not a technical claim.
"Replaces existing memory systems" · not a product replacement claim.