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Writing study: Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers

← ICML 2026 oral writing corpus

Zander W. Blasingame, Chen Liu · Official ICML 2026 oral record

Figure, table and section ledger

Editorial contribution type: Theory & formal analysis (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
73 physical pages
Before references / appendix
≈ 9.19 page-equivalents
Main figures / tables
9 / 1
Attached appendix figures / tables
11 / 8
Attached appendix span
≈ 57.91 page-equivalents
Before references / appendix: ≈ 12.59%References / intervening material: ≈ 8.08%Attached appendix: ≈ 79.33%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.

Source-bound correction: Source-checked physical-page text restores wrapped top-level heading labels on pp. 3. Heading starts and measured positions are unchanged; this is label completeness, not a new section. Newly detected unnumbered impact/singular-acknowledgment statements are retained from the size-aware source extraction; authored heading corrections are unchanged.

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 headingStarts on PDF pageEstimated spanShare of entire PDF
1. Introduction1≈ 0.9 pp.1.23%
2. Preliminaries2≈ 1.03 pp.1.41%
3. Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers3≈ 3.41 pp.4.67%
4. Empirical Results6≈ 2.94 pp.4.03%
5. Related Work9≈ 0.16 pp.0.22%
6. Conclusion9≈ 0.26 pp.0.36%
Acknowledgements10≈ 0.08 pp.0.11%
Impact Statement10≈ 0.08 pp.0.11%
References10≈ 5.89 pp.8.07%
Appendices16≈ 1.47 pp.2.01%
A. Detailed Discussion on Related Work17≈ 7.8 pp.10.68%
B. Stochastic Runge-Kutta Methods25≈ 5.42 pp.7.42%
C. Derivation of Rex30≈ 12.78 pp.17.51%
D. Convergence Order Proofs43≈ 1.91 pp.2.62%
E. Relation to Other Solvers for Diffusion Models45≈ 7.62 pp.10.44%
F. Implementation Details53≈ 5.6 pp.7.67%
G. Experimental Details58≈ 5.14 pp.7.04%
H. Additional Results63≈ 10.18 pp.13.95%
All detected figure and table locations

Argument and organization

  1. Problem and contribution

    Separates closed-form algebraic reversibility from implicit inversion and from merely storing the trajectory, making the target property precise.

  2. Argument sequence

    Reparameterization precedes the reversible coupling, then a boxed construction and separate convergence statements lead to reconstruction and downstream tests.

  3. Evidence and verification

    Editing results explain omitted identity-collapse outputs, while component ablations retain variants with better inversion error but worse editing quality.

Problem, claim and contribution

Separates closed-form algebraic reversibility from implicit inversion and from merely storing the trajectory, making the target property precise.

Section 2.1, p. 2 · Main paper

Argument and section order

Reparameterization precedes the reversible coupling, then a boxed construction and separate convergence statements lead to reconstruction and downstream tests.

Sections 3-4, pp. 3-8 · Main paper

Figures, captions and visual explanation

Tinted proposition/theorem boxes distinguish construction from guarantees; radar captions disclose normalized ranges, the inverted LPIPS axis and raw-table destinations.

Proposition 3.2/Theorem 3.3, p. 5; Figures 8-9, p. 8; both PNGs inspected · Main paper

Tables, comparisons and evidence

Editing results explain omitted identity-collapse outputs, while component ablations retain variants with better inversion error but worse editing quality.

Section 4.3, p. 8; Appendix H.7 and Table 9, p. 67 · Main paper

Appendix and reproducibility

A detailed contents page supports the long derivation chain; Brownian reconstruction profiling is followed by latent-space failures, including a stochastic data-parameterization overflow case.

Appendix overview, p. 16; H.6-H.8, pp. 66-67 · Main paper

Clarity and writing conventions

The narrative explicitly distinguishes an ODE convergence-order result from stochastic constructions and accompanies exact-inversion language with finite-precision experiments.

Section 3.3, pp. 5-6; Appendix H.8, p. 67 · Main paper

What to reuse—and what not to infer

Transferable lesson: Separate algebraic identity, numerical stability and downstream usefulness, and preserve ablations where those objectives move in opposite directions.

Boundary: Algebraic reversibility does not prevent overflow or guarantee stable latent distributions; radar area depends on normalization and LPIPS to the whole original image is not a localized preservation certificate.

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-focused distributed manuscript scan, not exhaustive technical/proof validation. Sections 1-6, pp. 1-9: reversibility definitions, reparameterized solver construction, ODE/SDE properties, finite-precision reconstruction, generation/editing and molecular sampling.
Appendix / supplement
Writing-focused appendix scan; code, data and external assets not executed. Appendix navigation p. 16 and A-H, pp. 17-73: stability comparisons, stochastic integrators, derivations/proofs, solver correspondences, implementation, profiling, ablations and uncurated samples.
Visually inspected PDF pages
5, 8

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.