Writing study: PhaseLoRA: Control-Regime-Conditioned Low-Rank Adaptation for Continuous-Action Vision-Language-Action Policies
← NeurIPS 2026 oral writing corpus
Yufei Guo, Yinan Wu, Haoran Duan, guiguang ding, Jungong Han · Official NeurIPS 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
- 19 physical pages
- Before references / appendix
- ≈ 9.53 page-equivalents
- Main figures / tables
- 3 / 4
- Attached appendix figures / tables
- 2 / 0
- Attached appendix span
- ≈ 6.36 page-equivalents
Source-bound correction: Top-level heading and reference/appendix boundaries checked against source PDF text. Bibliography titles/author initials, numbered contribution/property bullets, diagram steps, equations and TOC entries are not substantive headings. Section spans are page-coordinate estimates, not ink area or prose-only length. This is an author manuscript mirror, not a verified accepted-version template. Source layout uses physical single-column y/page-height, including equation-heavy pages.
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 | ≈ 1.43 pp. | 7.53% |
| 2 Related Work | 3 | ≈ 1.29 pp. | 6.79% |
| 3 Method | 4 | ≈ 2.22 pp. | 11.68% |
| 4 Experiments | 6 | ≈ 3.57 pp. | 18.79% |
| 5 Conclusion | 10 | ≈ 0.23 pp. | 1.21% |
| References | 10 | ≈ 3.11 pp. | 16.37% |
| A Implementation and Reproducibility Details | 13 | ≈ 2.81 pp. | 14.79% |
| B Real-world Benchmark Details | 16 | ≈ 1.24 pp. | 6.53% |
| C Additional Update-Direction Visualizations | 17 | ≈ 0.11 pp. | 0.58% |
| D Broader impacts | 17 | ≈ 1.02 pp. | 5.37% |
| E Existing assets and licenses | 18 | ≈ 1.18 pp. | 6.21% |
All detected figure and table locations
Main text
Attached appendix
Argument and organization
- Problem and contribution
Contrasts fixed adapter directions with changing control regimes within one rollout; the proposed change is specific to when adaptation varies, not a blanket claim that LoRA is insufficient.
- Argument sequence
Method exposition proceeds from the policy setting to low-rank parameterization, proxy descriptor targets, router/training and complexity; evaluation then separates aggregate performance from mechanism tests.
- Evidence and verification
The ablation table tests random descriptors and scalar-only modulation, which challenge the claimed need for structured direction changes; main tables include trainable parameter budgets and seed variability.
Problem, claim and contribution
Contrasts fixed adapter directions with changing control regimes within one rollout; the proposed change is specific to when adaptation varies, not a blanket claim that LoRA is insufficient.
Section 1 and Figure 1, pp. 1–2 · Main paper
Argument and section order
Method exposition proceeds from the policy setting to low-rank parameterization, proxy descriptor targets, router/training and complexity; evaluation then separates aggregate performance from mechanism tests.
Sections 3.1–3.5 and 4, pp. 4–10 · Main paper
Figures, captions and visual explanation
Figure 3 aligns an update-distance heatmap, selected rollout frames and a time-series overlay, with common event-colored vertical lines linking grasp, transport and placement across views. Figure 2 separates the deployed VLA/router overview, the algebraic low-rank update, and offline proxy-target construction into three panels. Snowflake/frozen labeling and distinct LoRA placements make the trained intervention clear; the bottom panel shows the supervision path instead of presenting it as an inference input.
Figure 3, p. 9 (render inspected); Figure 2, p. 4 (additional rendered inspection) · Main paper
Tables, comparisons and evidence
The ablation table tests random descriptors and scalar-only modulation, which challenge the claimed need for structured direction changes; main tables include trainable parameter budgets and seed variability.
Tables 1–3, pp. 7–9 · Main paper
Appendix and reproducibility
Baseline fairness receives a named subsection listing shared backbone, data and optimization settings; hardware and real-world trial definitions remain discoverable.
Appendix A.7–A.8 and B, pp. 15–17 · Main paper
Clarity and writing conventions
Definitions keep continuous proxy descriptors distinct from discrete skill labels, and the diagnostic language describes association with control transitions rather than proving causal phase recognition.
Sections 3.3 and 4.5, pp. 5–6 and 9–10 · Main paper
What to reuse—and what not to infer
Transferable lesson: For adaptive modules, put a mechanism-specific falsification control next to a time-aligned diagnostic rather than relying only on an overall success gain.
Boundary: A representative rollout is an illustration, not the population estimate; pair it with Table 4's aggregate analysis and retain the weak-supervision qualification.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-10-02
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented scan across manuscript framing, section sequence, figure/table captions, selected argument/evaluation prose and conclusion; not exhaustive technical or proof verification. Sections 1–5, pp. 1–10; references pp. 10–12 Source is the exact public author version listed below, not a verified accepted/camera-ready revision.
- Appendix / supplement
- Writing-oriented appendix/documentation scan: Appendices A–E, pp. 13–19: backbone/adapter settings, fairness controls, real-world setup, further rollout diagnostics, impact and licenses. Source code, data, model outputs and external video assets were not executed or independently validated.
- Visually inspected PDF pages
- 4, 9
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.