01FIELD DEFINITION
Trajectory Intelligence for Autonomous Systems
The object of study, boundary conditions and irreducible capabilities of intelligence operating across time, state and consequence.
FOUNDATIONAL PAPER
Research
in motion.
Field definitions, technical positions, formal primitives, benchmark agendas and experimental results from NEO Labs.
02SYSTEMS
A Trajectory Is Not a Training Sample
What continual-learning pipelines discard when production traces become training objects.
RESEARCH NOTE
03EVIDENCE
From Identity to Effect
Federated attestation across agent identity, authority, execution evidence and independently verified consequence.
SPECIFICATION
04EVALUATION
The Right Granularity Is Claim-Dependent
Adaptive trajectory evaluation without evidence loss at stage boundaries, milestones or early stops.
BENCHMARK NOTE
05MEMORY
From Memory Write to Governed Belief Commit
Reliability, provenance, applicability and durable-state consequences in autonomous memory systems.
RESEARCH NOTE
06RUNTIME
The Runtime Is Part of the Policy
How interfaces, defaults, control surfaces and render boundaries shape autonomous outcomes.
EXPERIMENTAL AGENDA
07RUNTIME
The Harness Is Not the World
Agent operating systems, self-improving runtimes and the unresolved boundary between task success and consequence truth.
SYSTEMS NOTE
Research standard
Claims should survive
contact with evidence.
NEO Labs distinguishes original contribution from prior art, hypotheses from results, and structural integrity from independently verified truth.
Read the live frontier