Original teaching diagrams

These fourteen editable SVG diagrams were created for this presentation to explain task conditions and simplified method flows. Characters, actions, trajectories, object arrangements and decisions are illustrative; they are not paper figures, experimental outputs or additional empirical evidence. Method references identify the concepts being explained. Original paper figures are listed separately below.

FileExplanatory purposeMethod basis
teaching-a-lam-basics.svgLAM input and training goalFLAM §3–4; PlaySlot §3
teaching-a-action-learning.svgTwo concurrent visual changes without per-agent action labelsFLAM §3–4
teaching-a-flam-mechanism.svgFactor-wise action inference and whole-scene predictionFLAM §4.1–4.2
teaching-a-control-binding.svgCorrect and swapped assignments of supplied controlsActionParty §1, §3.1
teaching-a-actionparty-mechanism.svgAction–subject and subject–space associationsActionParty §3.1–3.3
teaching-b-other-actions.svgSupplied actions versus unspecified other-agent behaviorCOMBAT / WorldMind task framing
teaching-b-combat.svgOther-agent behavior contained in predicted videoCOMBAT §3
teaching-b-worldmind.svgVisual state, skill history, explicit decisions and video feedbackWorldMind §3
teaching-b-cooperation.svgOwn action choices under uncertain partner intentCOMBO §3, §5
teaching-b-combo.svgCandidate video futures used to choose an own actionCOMBO §4–5
teaching-c-shared-world.svgOne opening-door event from two viewpointsME-World §1–3 task framing
teaching-c-me-flow.svgView-specific actions, shared history and joint generationME-World §3.1–3.4
teaching-c-count.svgFrom two controlled agents to four agentsGamma-World agent-count task framing
teaching-c-gamma-flow.svgA finite identity pool and shared hub communicationGamma-World §3.2–3.3

Reproduced paper figures

The 21 paper figures below are reproduced unmodified from the linked paper HTML pages. License labels are transcribed from the source articles; they do not imply that all third-party content has the same license.

Open the Chinese presentation · Discussion overview

FilePaperVersionFigureOriginal imageSource article license label
control-actionparty-examples.pngActionParty2604.02330v2Fig. 6Original imagearXiv.org perpetual non-exclusive license
control-actionparty-method.pngActionParty2604.02330v2Fig. 2Original imagearXiv.org perpetual non-exclusive license
control-incantation-examples.pngIncantation2605.18601v2Fig. 1 / teaserOriginal imagearXiv.org perpetual non-exclusive license
lam-flam-edit-blue.pngFLAM2602.16229v2Fig. 6, blue-agent panelOriginal imageCC BY-NC-SA 4.0
lam-flam-method.svgFLAM2602.16229v2Fig. 3Original imageCC BY-NC-SA 4.0
lam-lpwm-method.pngLPWM2603.04553v1Fig. 3Original imagearXiv.org perpetual non-exclusive license
lam-playslot-method.pngPlaySlot2502.07600v2Fig. 2(a), training pipeline panelOriginal imageCC BY 4.0
world-combat-action-ratio.pngCOMBAT2603.00825v1Figure 5Original imageCC BY 4.0
world-combat-method.pngCOMBAT2603.00825v1Figure 2aOriginal imageCC BY 4.0
world-combo-composition.pngCOMBO2404.10775v3Figure 2Original imageCC BY 4.0
world-combo-method.pngCOMBO2404.10775v3Figure 3Original imageCC BY 4.0
world-combo-planning.pngCOMBO2404.10775v3Figure 5Original imageCC BY 4.0
world-gamma-four-agent.pngGamma-World2605.28816v1Figure 5Original imageCC BY 4.0
world-gamma-method.pngGamma-World2605.28816v1Figure 2Original imageCC BY 4.0
world-me-method.pngME-World2610.12299v1Figure 3Original imageCC BY 4.0
world-me-motivation.pngME-World2610.12299v1Figure 2Original imageCC BY 4.0
world-me-results.pngME-World2610.12299v1Figure 5Original imageCC BY 4.0
world-multics-method.pngMultics2610.17201v1Figure 2Original imagearXiv perpetual non-exclusive license
world-overseer-method.pngOverSeer2610.28554v1Figure 2Original imagearXiv perpetual non-exclusive license
world-worldmind-cases.pngWorldMind2608.21439v1Figure 4Original imageCC BY 4.0
world-worldmind-method.pngWorldMind2608.21439v1Figure 3Original imageCC BY 4.0