InfiniteWorld — Parallel-Physics Worlds

A VideoQA benchmark for physical-law understanding. Videos come from worlds whose laws are systematically altered — gravity inverted, friction removed, collisions super-elastic — each with exact per-frame ground truth from the engine that produced it.

3000 simulated clips · 6 law families × 5 magnitudes · 15,910 QA · blind-LLM gated · v1

aMethod

Three layers: engine truth → photoreal translation → tracking-based certification.

LAYER 1 Engine truth PyBullet at 240 Hz with a dialed-in law. Exact trajectory, camera, and depth per frame. R² ≥ 0.999999 fit
LAYER 2 Neural sim→real translation Depth-conditioned Cosmos-Transfer1-7B re-renders the sim photorealistically, motion locked to the engine. ~953 s / clip on A100
LAYER 3 SAM2 coherence certification SAM2 tracks the translated object against the projected engine trajectory. Fail → discard. gate: tracked ≥ 0.80 · corr > 0.95

bCertified sim ↔ real pairs

Left: engine sim. Right: Cosmos translation. Every pair passed trajectory certification and a human artifact screen.

SIM
PHOTOREAL
Gravity invertedtraj corr 0.9999

Gravity points up: g = +9.81 m/s². The released ball falls to the ceiling.

SIM
PHOTOREAL
Restitution supertraj corr 0.9980

Super-elastic bounces: e = 1.20 (clamp 8 m/s). Each apex climbs higher than the last.

SIM
PHOTOREAL
Combo: gravity inverted × air dragtraj corr 1.0000

Two laws at once: g = +9.81 m/s² and drag k = 1.2 /s. The resting ball lifts off and decelerates as it climbs.

SIM
PHOTOREAL
Friction scaledtraj corr 1.0000

Friction removed: μ = 0 (Earth ref μ = 0.35). The pushed box slides without stopping.

SIM
PHOTOREAL
Dissipation airtraj corr 1.0000

Thick air drag: k = 0.4 /s velocity decay. The flight arc dies mid-air.

SIM
PHOTOREAL
Gravity scaledtraj corr 0.9993

Gravity at 10%: g = −0.981 m/s². Slow, floaty drop with low bounces.

Physics-preserved = SAM2-tracked trajectory matches the projected engine ground truth. The full 1,200-clip photoreal tier is translating and certifying continuously.

dBy the numbers

3000
simulated clips
(1200 anomaly · 1200 control · 600 combo)
≥0.999999
min engine-fit R² across all 3000
15,910
QA items · 5 task types
PASS
blind-LLM gate
(gpt-5-mini + deepseek-v3)
1,200
photoreal tier in flight
(4×A100, rolling SAM2 certification)
1e-9
bit-level reproducibility
(corpus regenerated & verified)

eThe five QA tasks

Unanswerable without watching the video — enforced by the blind-LLM audit below. Examples from the training split.

law_identification · 3,600 items

In this video, which one of the following aspects of physics behaves differently from normal Earth physics?

  • The direction of gravity
  • Bounciness (restitution) of collisions
  • None — the physics matches normal Earth physics
  • The strength of gravity
Show answer
The direction of gravity
parameter_regression · 3,600 items

Estimate the effective vertical gravitational acceleration acting on the object in this video, in m/s². Use a signed value: negative means directed downward, positive means upward.

free-response numeric · unit m/s² · graded within ± tolerance
Show answer
−0.981 m/s² (full credit ±0.6, half credit ±1.2)
forward_prediction · 1,540 items

Consider the position of the moving object at t = 1.38 s in the video. At t = 2.50 s, where is the object relative to that position?

  • Noticeably lower
  • At about the same height
  • It is out of view (off-screen)
  • Noticeably higher
Show answer
Noticeably lower
cross_world_counterfactual · 1,170 items

If this exact scene were re-run with normal Earth physics (same object, same initial push), would the object slide a shorter total distance, a longer total distance, or about the same distance as it does in the video?

  • A longer distance than in the video
  • About the same distance
  • A shorter distance than in the video
Show answer
About the same distance
law_induction · 6,000 items

The first two videos come from the same world, whose physics differs from normal Earth physics in a specific, consistent way. Does the third video come from a world with the same physics — the same law(s) altered in the same direction and by the same amount?

  • No
  • Yes
Show answer
Yes

fBlind-LLM gate

Text-only models see question + options, no video (temperature 0, 300 stratified items). A task passes only if both stay below chance + 8 pts. All four types pass.

Task typechancegategpt-5-minideepseek-v3verdict
law_identification25.033.018.325.0PASS
forward_prediction25.033.025.018.8PASS
cross_world_counterfactual33.341.334.037.0PASS
law_induction50.058.051.751.7PASS

Accuracies in %. parameter_regression is free-response numeric and is not part of the MCQ blind gate. Every released row carries blind_answerable = false.

gLaw families & dials

Six families × five magnitudes, plus matched Earth-physics controls.

FamilyAltered lawdialC-tier certification
gravity_invertedDirection of gravity flips upwardg = +9.81 m/s²pilot 11/12
gravity_scaledStrength of gravity scaled downg_scale = 0.1–1.0run in progress · 11/12 of certified so far
friction_scaledSurface friction scaled to zeroμ = 0 (ref 0.35)run in progress · 12/12 of certified so far
restitution_superSuper-elastic collisionse = 1.3 (clamp 8 m/s)pilot 11/12
dissipation_airStrong in-flight air dragk = 0.4 /srun in progress · 10/12 of certified so far
buoyancy_invertedInverted buoyancy in liquidF = 1.8·m·g upC-tier coming in v1.1 — water-occlusion re-render

Corpus generation is complete for all 3000 clips (six families × five magnitudes + controls, all fit at R² ≥ 0.999999). C-tier certification of the full corpus is a live run: 91 / 1200 translated clips certified so far, 62 passing. Per-family "of certified so far" counts are from that in-progress run.