Writing study: ProPhy: Progressive Physical Alignment for Dynamic World Simulation
← CVPR 2026 oral writing corpus
Zijun Wang, Panwen Hu, Jing Wang, Terry Jingchen Zhang, Yuhao Cheng, Long Chen, Yiqiang Yan, Zutao Jiang, Hanhui Li, Xiaodan Liang · Official CVPR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Architecture & representation (primary).
Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.
- Canonical PDF
- 10 physical pages
- Before references / appendix
- ≈ 8.12 page-equivalents
- Main figures / tables
- 8 / 4
- Attached appendix figures / tables
- 0 / 0
- Attached appendix span
- Separate file recorded below; not in this PDF total
Extraction notes: No attached appendix boundary detected. Zero means no recognized caption, not independently verified absence.
Section-by-section lengths and source pages
The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.
All detected figure and table locations
Main text
Attached appendix
No recognized caption labels.
Separate source files—excluded from canonical-PDF totals
A separate author version may repeat main text and references. Whole-file lengths and counts are not extra appendix material and are never added to the canonical PDF totals. Read the study's source scope for which sections received substantive reading versus layout inspection.
Additional source 1
Separate PDF (or ZIP containing it): whole-file layout of 6 physical pages; 6 detected figures and 0 tables. These may include overlapping main-text material.
Located appendix only: starts on physical p.1; ≈ 5.94 page-equivalents, 6 figure labels and 0 table labels. This interval is distinct from the whole file.
Argument and organization
- Method §§3.1–3.3
Introduce the end-to-end branch, then routing, then supervision objectives.
- Experiments §§4.1–4.5
Separate physical correctness, visual quality, component ablations and interpretation of the experts.
Problem, claim and contribution
The opening contrasts coarse video-level physics alignment with localized physical events, making spatial specificity—not merely prettier generation—the claimed gap.
PDF pp. 1–2, Figure 1 · Main paper · Additional source 2
Argument and section order
Routing and alignment objectives receive separate subsections, so the reader can distinguish architectural intervention from how the router obtains supervision.
PDF pp. 3–5, §§3.2–3.3 · Main paper · Additional source 2
Figures, captions and visual explanation
The paper gives the full framework its own diagram, then separately illustrates VLM annotation and attention localization; this prevents the supervision source from disappearing inside the architecture box.
Figures 2–4, PDF pp. 4–5 · Main paper · Additional source 2
Tables, comparisons and evidence
Table 1 groups each pretrained backbone with its adaptations and separates ALL/HARD and physical/semantic/joint scores. The later VBench table checks whether physical gains damage general visual quality.
Table 1, PDF p. 6; Table 2, PDF p. 7 · Main paper · Additional source 2
Appendix and reproducibility
The supplement supplies hardware, fixed training steps, annotation prompts and human annotation checks, connecting the learned physical priors to their imperfect supervision source.
Official ZIP PDF supplement pp. 1–3, §§A–B and Figures 1–3 · Main paper · Additional source 2
Clarity and writing conventions
The expert-inversion intervention asks what happens when the proposed physical signal is deliberately wrong; this is more diagnostic writing than only showing an attractive attention map.
PDF p. 8, Figures 6–8 · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: Organize physics-conditioned generation evidence as localization, physical correctness, retained visual quality and deliberately perturbed conditioning.
Boundary: Benchmark physics scores and expert maps do not establish a simulator obeying governing differential equations; the conclusion explicitly acknowledges noisy coarse physical labels.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-26
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Manuscript-wide writing scan of PDF pp. 1–10: framing, argument sequence, section organization, figure/table captions, evaluation interpretation and limitations; reference sections identified. This is a writing-focused scan, not an exhaustive technical proof or reproduction audit. Main PDF pages 3 and 6 were rendered and visually inspected.
- Appendix / supplement
- Writing-focused scan of the separate supplementary PDF, pp. 1–6, including its organization, captions, protocol/evidence detail and limitation material where present; proofs and code listings were inspected for exposition, not independently verified or executed. Official ZIP PDF supplement pp. 1–3, §§A–B and Figures 1–3. Linked video/audio demonstrations and non-PDF archive contents were not assessed.
- Visually inspected PDF pages
- 3, 6
This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.