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Writing study: From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space

← ICML 2026 oral writing corpus

Lehui Li, Yuyao Wang, Jisheng Yan, Wei Zhang, Jinliang Deng, Haoliang Sun, Zhongyi Han, Yongshun Gong · Official ICML 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
17 physical pages
Before references / appendix
≈ 8.65 page-equivalents
Main figures / tables
8 / 2
Attached appendix figures / tables
0 / 1
Attached appendix span
≈ 5.91 page-equivalents
Before references / appendix: ≈ 50.88%References / intervening material: ≈ 14.35%Attached appendix: ≈ 34.76%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.
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≈ 1.25 pp.7.35%
2. Related Work2≈ 0.29 pp.1.71%
3. Preliminaries2≈ 1.21 pp.7.12%
4. Methodology4≈ 2.58 pp.15.18%
5. Experiments6≈ 2.41 pp.14.18%
6. Conclusion9≈ 0.09 pp.0.53%
7. Limitations9≈ 0.14 pp.0.82%
Acknowledgements9≈ 0.24 pp.1.41%
Impact Statement9≈ 0.11 pp.0.65%
References9≈ 2.44 pp.14.35%
A. Theorems & Proofs12≈ 4.65 pp.27.35%
B. Detailed Dataset Statistics16≈ 1.26 pp.7.41%
All detected figure and table locations

Attached appendix

Argument and organization

  1. 1 Introduction; 2 Related Work; 3 Preliminaries

    Defines the multimodal task and diagnoses text redundancy with a controlled semi-synthetic setup.

  2. 4 Methodology

    Defines four verifiable primitives, frozen-LLM extraction, supervised confidence gates and forecast conditioning.

  3. 5 Experiments; 6 Conclusion; 7 Limitations

    Reports domain-specific results, nested ablations, primitive cases and the semantic-space boundary.

Problem, claim and contribution

The motivating diagnostic deliberately derives text from future-window statistics to guarantee signal; this controlled experiment must remain separate from prospective real-data forecasting claims.

Section 3.2, p.3 · Main paper

Argument and section order

Primitive definitions precede extraction and gating, with training-window labels and inference-time soft weights explicitly distinguished.

Sections 4.1-4.3, pp.4-6 · Main paper

Figures, captions and visual explanation

The overview separates frozen text extraction from the forecaster and labels primitive channels; the main table groups modalities and datasets and includes a signed gain row with negative results.

Figure 4, p.5; Table 1, p.7 · Main paper

Tables, comparisons and evidence

The paper states that removing the semantic bottleneck also removes its gate, so that ablation is not an independent factorial test of the two modules.

Section 5.3, p.8 · Main paper

Appendix and reproducibility

The proof develops a conditional semantic-sufficiency argument, while the compact dataset table distinguishes date ranges, granularity and input/forecast lengths but does not by itself establish text-availability timing.

Appendix A, p.13; Appendix B, p.16 · Main paper

Clarity and writing conventions

The fixed four-primitive space is explicitly acknowledged as potentially missing seasonality and other effects; the up-to improvement headline should retain its metric and dataset scope.

Limitations, p.9; Table 1, p.7 · Main paper

What to reuse—and what not to infer

Transferable lesson: Use controlled diagnostics to justify the bottleneck, then state exactly how supervision, offline extraction and real-data evaluation differ from that diagnostic.

Boundary: Semantic sufficiency is an assumption, not established for all text; offline LLM extraction still has cost, and Environment results include losses that broad state-of-the-art wording should not obscure.

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, 4, 5, 6, 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, 16. Remaining appendix proofs and details were not exhaustively read. No separately linked supplement inspected.
Visually inspected PDF pages
5, 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.