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README.md

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+---
+license: cc-by-nc-4.0
+pretty_name: Object Permanence Benchmark — 14 models' answers to the 300-question exam
+language:
+  - en
+task_categories:
+  - video-to-video
+tags:
+  - object-permanence
+  - world-model
+  - video-prediction
+  - benchmark
+  - model-outputs
+size_categories:
+  - 1K<n<10K
+viewer: false
+---
+
+# Object Permanence Benchmark — model answers
+
+Fourteen video models answering the 300-question object-permanence exam
+([`Hokin/object-permanence`](https://huggingface.co/datasets/Hokin/object-permanence), `eval/`):
+our own model **PWM-WROP** ([`Hokin/PWM-WROP`](https://huggingface.co/Hokin/PWM-WROP)), five
+open-source baselines, and eight hosted commercial models. Every model answered **all 300
+questions** (150 tasks × samples `_0000`/`_0001`), except `runway-aleph-v2v` (297; see below).
+
+Scores and the human preference leaderboard are published on the project page:
+<https://object-permanence.world/leaderboard>. This repository holds the raw generations only.
+
+```
+results/<model>/<task>_task/<sample_id>.mp4        4,198 files, 4.4 GB
+```
+
+Each file is the model's continuation of the matching question
+`eval/<shard>/<task>_task/<sample_id>/input_video.mp4`; the reference answer is that sample's
+`target_video.mp4`.
+
+## Open-source models
+
+| Model | Answers | Native mode |
+|---|---:|---|
+| `pwm-wrop` **(ours)** | 300 / 300 | Future continuation, 57→60 frames |
+| `ltx-2.3-dev-v2v` | 300 / 300 | IC-LoRA video conditioning |
+| `wan-vace-14b-v2v` | 300 / 300 | Full-frame repaint |
+| `hy-omniweaving-v2v` | 300 / 300 | Video editing |
+| `cosmos3-super-v2v` | 300 / 300 | Edge-controlled transfer |
+| `magi-24b-v2v` | 300 / 300 | Future continuation |
+
+Each model writes at its own native resolution, frame rate and length (measured with `ffprobe`,
+identical across sampled questions — a stable fingerprint that identifies the model from the
+file alone):
+
+| Model | Resolution | fps | Frames |
+|---|---|---:|---:|
+| `pwm-wrop` **(ours)** | 320x192 | 24 | 117 |
+| `ltx-2.3-dev-v2v` | 1536x1024 | 24 | 121 |
+| `magi-24b-v2v` | 1280x720 | 24 | 77 |
+| `cosmos3-super-v2v` | 1280x720 | 24 | 60 |
+| `hy-omniweaving-v2v` | 848x480 | 24 | 57 |
+| `wan-vace-14b-v2v` | 832x480 | 16 | 57 |
+| *reference* `target_video.mp4` | 1280x720 | 24 | 60 |
+
+Two consequences for anyone scoring these. **Blind evaluation is not possible from the raw
+files** — a rater sees the model identity in the frame size. And **resolution is a confound, not
+a result**: the lowest-resolution entry is the only model fine-tuned for the task, so any judgment
+that rewards visual fidelity measures the opposite of what this exam is about. Normalise
+presentation (common crop of the predicted span, common resolution, common frame rate) before
+collecting any human preference, and disclose that the underlying resolutions differ.
+
+## Commercial models
+
+Eight hosted models, run 2026-08-30 through their public APIs against the exact `eval/` clips.
+Prompts were sent verbatim from `prompt.txt`; extension lengths derived per question from the
+target's frame count. Only the mp4 answers are mirrored here; per-call request records are
+retained by the authors.
+
+| Model | Answers | Class | Native output |
+|---|---:|---|---|
+| `ltx-2.3-extend` | 300 | true continuation | 1920x1080 / 24 / 145 — **source+extension stitched**; drop the first 3.25 s (front padding 0.75 s + source 2.5 s; rolltop 3.75 s) |
+| `grok-imagine-video-extend` | 300 | true continuation | 1280x720 / 24 / 132 — stitched; drop the first 60 frames (rolltop 90) · has audio |
+| `gemini-omni-flash-1.1-video-edit` | 300 | frame-wise edit | 1280x720 / 24 / 60 · has audio |
+| `seedance-2.5-v2v` | 300 | reference-to-video | 1280x720 / 24 / 97 (4.04 s); 2 aspect slips: `clamshell_box_0001` 960x960, `hanging_ball_release_drop_0000` 720x1280 |
+| `wan-3.0-prime-video-edit` | 300 | reference-to-video | 1280x720 / 30 / 90 (3.0 s) |
+| `minimax-h3-v2v` | 300 | reference-to-video | 1344x768 / 24 / 124 (5.18 s) · has audio |
+| `kling-o3-pro-video-edit` | 300 | frame-wise edit | 1920x1080 / 24 / 73 (3.04 s) — source front-padded 0.5 s; trim it |
+| `runway-aleph-v2v` (Aleph 2) | **297** | frame-wise edit | 1920x1080 / 24 / 60 (2.5 s) |
+
+`runway-aleph-v2v` refused 3 questions whose prompts exceed Runway's 1,000-character limit —
+refused rather than truncated, score as "cannot answer": `container_entry_left_u_0000`
+(1011 chars), `container_entry_left_u_0001` (1005), `high_low_cover_0000` (1052).
+
+## Two generations, one exam — read this before counting
+
+The exam was patched partway through: 12 collision tasks were re-rendered at generator v1.4.2
+with event-aligned splits and swapped into the exam on 2026-08-16; the other 138 tasks kept their
+original clips. The six open-source models' answers are therefore assembled from two runs:
+
+| Slice | Questions | Answered | Against |
+|---|---:|---|---|
+| 138 unpatched tasks | 276 | 2026-07-16 → 07-21 | original clips |
+| 12 patched tasks | 24 | 2026-08-16 → 08-18 | v1.4.2 clips |
+
+`pwm-wrop` answered the full patched exam in one run on 2026-08-16, and all commercial answers
+were produced against the patched exam in a single pass. Every one of the answers here is matched
+to the exact question file in `eval/` — no answer was produced against a superseded clip.
+
+The 12 patched tasks: `ball_strikes_pendulum`, `bank_shot_carom`, `glancing_billiard_split`,
+`glancing_oblique_collision`, `headon_velocity_exchange`, `heavy_light_collision`,
+`knock_ball_off_ledge`, `knock_ball_off_tee`, `light_ball_rebounds_off_heavy`,
+`pendulum_strike_projectile`, `trapdoor_drop`, `two_balls_collide_and_bounce`.
+
+## Known caveats — read before scoring
+
+1. **Most of the baselines are not continuation models.** `pwm-wrop`, `magi-24b-v2v`,
+   `ltx-2.3-extend` and `grok-imagine-video-extend` have native future-continuation
+   interfaces. The others are editing, transfer, reference or conditioning modes: they receive the
+   source clip and the text prompt, never the reference answer, and they characteristically
+   repaint or re-render the source span rather than entering the reference future. Reading their
+   outputs as failed continuations conflates an interface limitation with a benchmark result;
+   report interface behaviour and target alignment as separate dimensions.
+2. **Ours and the baselines are not a like-for-like contest.** PWM-WROP was fine-tuned on this
+   task family; the baselines are general-purpose models used off the shelf. Any comparison must
+   say so.
+3. **The 138-task slice predates later generator fixes.** Those questions and answers are
+   internally consistent with each other, but their clips are older than the training corpus,
+   which was rendered at v1.9.1 (v1.5.0 until 2026-09-14). Train and eval are not version-matched;
+   see the exam card.
+4. **Timing details.** `pwm-wrop` conditions on the **last 57 frames** of the input, dropping the
+   first 3 frames; its 117-frame answers replay those 57 frames then continue, and the
+   continuation seam aligns with the target. Two questions are 90 frames / 3.75 s, not 60 / 2.5 s:
+   `rolltop_tambour_0000` and `rolltop_tambour_0001` (`n_frames=180, split_index=90`).
+   Commercial extend answers followed the 3.75 s target; PWM-WROP dropped 33 frames of their
+   inputs.
+
+## License
+
+[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — attribution: **Hokin Deng**. Non-commercial
+use only; see [LICENSE](LICENSE). Commercial-model outputs
+remain subject to their providers' terms. For commercial licensing contact hokinxqdeng@gmail.com.

results/hy-omniweaving-v2v/nested_cup_transfer_task/nested_cup_transfer_0000.mp4

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