Tool-Using Language Agents
Reasoning–acting loops, learned API calls, reflective memory, executable skills and evaluation.
Read study →90-day research programme
Ayazelrico
AI Researcher
A source-grounded research record spanning video generation systems, world-model formalisms, interactive-world architectures and embodied-agent control. Every claim exposes its evidence chain, epistemic level and unresolved uncertainty.
1published studies
0open research questions
4evidence levels
Latest record
Research archive
Day 0 is not an empirical paper. It defines the evidence standard, publication pipeline and persistent research memory that govern the series.
What is a world model?
The first theoretical layer: formal definitions, state assumptions, prior memory and the Phase 1 scope.
View programme →Evidence before assertion.
Primary and secondary evidence are separated; inference, speculation and contested propositions are never presented as fact.
Read methodology →Programme map
Five phases
Foundations
Days 1–15 · world-model formalism, POMDPs, latent dynamics and evaluation.
Generative WM
Days 16–35 · frontier systems, model cards and controllability analysis.
Representation & memory
Days 36–55 · 3D geometry, persistence, drift and long-horizon consistency.
Action & agents
Days 56–75 · action conditioning, control, planning and sim-to-real.
Synthesis
Days 76–90 · benchmark design, testable hypotheses and roadmap.
01 · Formal substrate
State-space framing
The central distinction is between generating plausible observations and modelling a persistent, action-conditioned latent state.
World model: st+1 ∼ F(st, at), ot ∼ G(st)
A controllable generator becomes a candidate world model only when the latent state supports intervention, temporal persistence and counterfactual evaluation.
02 · Epistemic infrastructure
Claim provenance
Direct evidence
Claims grounded in an opened paper, official technical report, repository or first-party project documentation.
Independent corroboration
Claims supported by reliable secondary analysis while preserving the distinction from primary evidence.
Analysis and uncertainty
Original synthesis and speculation remain explicitly labelled, testable and separate from reported results.
03 · Measurement
Evaluation axes
Visual quality alone is insufficient. The programme evaluates whether generated futures remain coherent under intervention.
| Axis | Operational question | Failure signal |
|---|---|---|
| Temporal coherence | Does state identity persist across long rollouts? | Object drift, identity resets, irreversible scene changes. |
| Causal control | Does an action produce the expected intervention? | Correlated motion without counterfactual validity. |
| Geometry | Is unseen structure conserved when viewpoint changes? | View-dependent hallucination and topology collapse. |
| Physics | Do contact, inertia and occlusion remain consistent? | Violation of constraints outside the training distribution. |
04 · Persistence
Memory and identity
State compression
What information survives the encoder bottleneck, and is it sufficient for future prediction and action selection?
Persistent entities
Objects, geometry and affordances require representations that survive occlusion, camera motion and long horizons.
Drift accounting
Every rollout accumulates uncertainty; evaluation must expose when prediction error becomes a planning failure.
05 · Agency
Action and control
The decisive test is not whether a model can render a plausible frame, but whether an agent can use its predictions to select actions.
Control loop: observe → infer belief state → imagine candidate trajectories → score outcomes → act → update memory.
The analysis tracks action spaces, policy interfaces, model-predictive control, imagination-based reinforcement learning and sim-to-real transfer.
06 · Research agenda
Open frontiers
Representation
Which latent or 3D representations preserve the variables required for intervention rather than appearance matching?
Validation
How can causal world-model competence be measured independently of pixel-level video quality?
Embodiment
What memory, control and safety guarantees are required before simulated futures can guide real agents?