Writing study: From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models
← ICML 2026 oral writing corpus
Yihan Lin, Haoyang Li, Yang Li, Haitao Shen, Yihan Zhao, Chao Shao, Jing Zhang · Official ICML 2026 oral record
Figure, table and section ledger
Editorial contribution type: Empirical analysis, diagnosis & auditing (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
- 25 physical pages
- Before references / appendix
- ≈ 8.84 page-equivalents
- Main figures / tables
- 6 / 5
- Attached appendix figures / tables
- 5 / 17
- Attached appendix span
- ≈ 13.91 page-equivalents
Source-bound correction: Restore Figure6, the right-hand caption alongside Figure5 on physical p8. The original Poppler line merged both captions; p8 rendered and visually checked.
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 | ≈ 1.03 pp. | 4.12% |
| 2. Related Work | 2 | ≈ 0.56 pp. | 2.24% |
| 3. Preliminaries | 2 | ≈ 1.27 pp. | 5.08% |
| 4. Methodology | 4 | ≈ 2.11 pp. | 8.44% |
| 5. Experiments | 6 | ≈ 3.13 pp. | 12.52% |
| 6. Limitations | 9 | ≈ 0.2 pp. | 0.8% |
| 7. Conclusion | 9 | ≈ 0.08 pp. | 0.32% |
| Acknowledgements | 9 | ≈ 0.05 pp. | 0.2% |
| Impact Statement | 9 | ≈ 0.08 pp. | 0.32% |
| References | 9 | ≈ 2.25 pp. | 9% |
| A. Latent Action Model Details | 12 | ≈ 2.15 pp. | 8.6% |
| B. Architecture Details | 14 | ≈ 1.01 pp. | 4.04% |
| C. VLA Baselines and Evaluation Protocols | 15 | ≈ 0.94 pp. | 3.76% |
| D. VLA Training Implementation Details | 16 | ≈ 0.91 pp. | 3.64% |
| E. Additional Experimental Results | 17 | ≈ 2.22 pp. | 8.88% |
| F. Real-World Experiments on the JAKA Arm | 19 | ≈ 6.7 pp. | 26.8% |
All detected figure and table locations
Main text
Attached appendix
- Figure 7 · p. 13
- Table 6 · p. 13
- Table 7 · p. 15
- Table 8 · p. 16
- Figure 8 · p. 17
- Table 9 · p. 18
- Table 10 · p. 18
- Table 11 · p. 18
- Table 12 · p. 19
- Figure 9 · p. 20
- Figure 10 · p. 20
- Figure 11 · p. 21
- Table 13 · p. 22
- Table 14 · p. 22
- Table 15 · p. 22
- Table 16 · p. 23
- Table 17 · p. 23
- Table 18 · p. 23
- Table 19 · p. 24
- Table 20 · p. 24
- Table 21 · p. 25
- Table 22 · p. 25
Argument and organization
- 1 Introduction; 2 Related Work; 3 Preliminaries
Defines the comparison target as supervision design, not a contest between latent-action encoders.
- 4 Methodology
Maps two conceptual directions to four implementations under a shared baseline.
- 5 Experiments; 6 Limitations; 7 Conclusion
Separates formulation, integration, representation and scene-transfer questions.
Problem, claim and contribution
The opening explicitly studies how latent supervision affects policy learning under a unified baseline, limiting what its ranking claims compare.
Introduction, p.1 · Main paper
Argument and section order
Results are organized by comparison axis, with discrete-versus-continuous representation and placeholder-length controls answering separate alternatives.
Sections 5.2-5.6, pp.7-9 · Main paper
Figures, captions and visual explanation
The architecture panel uses shared colored token roles across all four variants; real-world displays distinguish completion scores from binary task success and label rollout counts.
Figure 3, p.4; Figure 4 and Table 3, p.7 · Main paper
Tables, comparisons and evidence
The paper preserves task-dependent rankings: direct image-latent supervision leads some tasks, while action tokens or conditional designs benefit others.
Sections 5.2-5.5, pp.7-8 · Main paper
Appendix and reproducibility
A vision-only variant tests the small action-supervision contribution, while the physical protocol fixes cameras and calibration and enumerates ten rollouts per model-task.
Table 6, p.13; Appendix F, p.19 · Main paper
Clarity and writing conventions
Mechanistic interpretations use hypothesize and suggest, and limitations leave open whether stronger latent representations would change the observed ranking.
Section 5.2, p.7; Limitations, p.9 · Main paper
What to reuse—and what not to infer
Transferable lesson: For a systematic study, make the controlled comparison axes visible and preserve task-specific exceptions to an overall recommendation.
Boundary: A four-strategy study with one physical robot does not exhaust the design space; completion-percentage scores should not be relabeled as success probabilities.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-10-07
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented scan of the main argument through physical p.9, with focused physical-page text inspection on 1, 3, 5, 7, 8, 9. Framing, section progression, mechanism/proof explanation, displays, comparison conditions and conclusions were inspected. This is not exhaustive technical reading, proof verification or reproduction.
- Appendix / supplement
- Appendix organization and main-text pointers were checked; focused text inspection of physical pages 13, 19. Remaining appendix proofs and details were not exhaustively read. No separately linked supplement inspected.
- Visually inspected PDF pages
- 4, 7
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.