Writing study: Compositional Diffusion with Guided search for Long-Horizon Planning
← ICLR 2026 oral writing corpus
Utkarsh Mishra, David He, Yongxin Chen, Danfei Xu · Official ICLR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Inference, algorithms & systems efficiency (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
- 15 physical pages
- Before references / appendix
- ≈ 10.46 page-equivalents
- Main figures / tables
- 7 / 5
- 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.
| Top-level heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1 INTRODUCTION | 1 | ≈ 1.24 pp. | 8.27% |
| 2 BACKGROUND | 2 | ≈ 1.56 pp. | 10.4% |
| 3 METHOD | 4 | ≈ 2.15 pp. | 14.33% |
| 4 EXPERIMENTAL RESULTS: ROBOTIC PLANNING | 6 | ≈ 2.13 pp. | 14.2% |
| 5 CDGS FOR LONG CONTENT GENERATION | 8 | ≈ 1.68 pp. | 11.2% |
| 6 RELATED WORK | 10 | ≈ 0.3 pp. | 2% |
| 7 CONCLUSION | 10 | ≈ 0.13 pp. | 0.87% |
| 8 LIMITATIONS | 10 | ≈ 0.35 pp. | 2.33% |
| 9 REPRODUCIBILITY STATEMENT | 11 | ≈ 0.19 pp. | 1.27% |
| 10 LLM USAGE | 11 | ≈ 0.09 pp. | 0.6% |
| ACKNOWLEDGMENTS | 11 | ≈ 0.08 pp. | 0.53% |
| REFERENCES | 11 | ≈ 4.54 pp. | 30.27% |
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 27 physical pages; 11 detected figures and 6 tables. These may include overlapping main-text material.
| Detected heading | PDF page | Estimated span |
|---|
No top-level headings detected; no section lengths inferred.
Argument and organization
- Mode-averaging problem
Use a common local-to-global failure across planning, panoramas, and video to motivate search.
- Compositional diffusion with guided search
Separate candidate generation by resampling from pruning by local feasibility.
- Robotics and long-content experiments
Test the same inference principle across domains, then disclose assumptions and implementation details.
Problem, claim and contribution
The running two-route example shows why individually plausible local modes can produce an invalid global sequence, giving the method a concrete target.
Figures 1 and 3, pp. 1, 3 · Main paper · Additional source 2
Argument and section order
Paired pseudocode blocks distinguish the outer population search from compositional-score resampling, avoiding an opaque monolithic algorithm.
Algorithms 1–2, p. 5 · Main paper · Additional source 2
Figures, captions and visual explanation
The pipeline uses blue and yellow magnified panels to separate resampling and pruning, with a shared candidate-population view above.
Figure 4, p. 4 · Main paper · Additional source 2
Tables, comparisons and evidence
Result tables explicitly identify privileged planning information and report visual-generation trade-offs rather than only success examples.
Table 3, p. 7; Tables 4–5, p. 9 · Main paper · Additional source 2
Appendix and reproducibility
A navigable supplement includes prompts, model training, hardware, domain-specific sampling code, wall-clock scaling, and the additional dynamics correction used for TAMP.
Supplement Appendices F–M, printed pp. 26–42 · Main paper · Additional source 2
Clarity and writing conventions
The main-text oracle-matching language should be narrowed to particular settings; task success and aesthetic quality do not improve uniformly.
Abstract; Tables 1, 3, 5; Appendix L · Main paper · Additional source 2
What to reuse—and what not to infer
Transferable lesson: A transferable algorithm is easier to explain when a small running failure case, a two-component diagram, and domain-specific evaluations all use the same local/global vocabulary.
Boundary: The curvature statistic is a heuristic feasibility proxy, not an exact likelihood or feasibility guarantee. Equation 5's product-of-exponentials direction conflicts with minimization prose and the appendix's mean-curvature code. TAMP also uses learned forward dynamics; longer-video tests use few prompts and increased compute.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-19
- Reading status
- Full text + selected visuals inspected
- Main text
- Sections 1–10, pp. 1–11; references pp. 11–15
- Appendix / supplement
- Separate 27-page supplement, printed pp. 16–42: contents and Appendices A–M
- Visually inspected PDF pages
- 4, 9