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Writing study: What Preferences Can—and Cannot—Predict in Multi-Agent Online Learning

← ICML 2026 oral writing corpus

Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos · 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
47 physical pages
Before references / appendix
≈ 9.23 page-equivalents
Main figures / tables
5 / 0
Attached appendix figures / tables
10 / 0
Attached appendix span
≈ 34.91 page-equivalents
Before references / appendix: ≈ 19.64%References / intervening material: ≈ 6.09%Attached appendix: ≈ 74.28%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≈ 2 pp.4.26%
2 Preliminaries3≈ 0.52 pp.1.11%
3 Preferences, learning and stability3≈ 2.26 pp.4.81%
4 Implications of dynamic stability6≈ 0.63 pp.1.34%
5 Implications of preferential stability6≈ 1.18 pp.2.51%
6 Recovering dynamic stability7≈ 1.86 pp.3.96%
7 Concluding remarks9≈ 0.25 pp.0.53%
Acknowledgments10≈ 0.13 pp.0.28%
Impact statement10≈ 0.05 pp.0.11%
References10≈ 2.86 pp.6.09%
A Further related work13≈ 0.49 pp.1.04%
B Preference graphs13≈ 3.29 pp.7%
C Attractors and chain transitivity16≈ 1.22 pp.2.6%
D Regularizers and choice maps18≈ 3 pp.6.38%
E Strategy dynamics21≈ 2.49 pp.5.3%
F Omitted proofs from Section 423≈ 3.85 pp.8.19%
G Omitted proofs from Section 527≈ 11 pp.23.4%
H Omitted proofs from Section 638≈ 9.59 pp.20.4%
All detected figure and table locations

Argument and organization

  1. 1 Introduction; 2 Preliminaries; 3 Preferences, learning and stability

    Defines the distinction between ordinal information and continuous learning dynamics.

  2. 4 Implications of dynamic stability; 5 Implications of preferential stability

    Tests both directions of the proposed correspondence and isolates the subgame exception.

  3. 6 Recovering dynamic stability; 7 Concluding remarks

    Adds a payoff-dependent sufficient condition while preserving unresolved converse questions.

Problem, claim and contribution

A question about stable sets replaces a universal convergence-to-equilibrium premise, allowing recurrence and chaotic behavior to remain part of the problem.

Introduction, p.1 · Main paper

Argument and section order

The two implication directions organize the theorem sequence, followed by an explicit counterexample and a stronger sufficient condition.

Sections 4-6, pp.6-8 · Main paper

Figures, captions and visual explanation

Paired cube graphs and trajectories show when ordinal closure matches or fails to match dynamics; four concluding trajectories retain the same preference graph while changing one payoff.

Figure 1, p.2; Figure 5, p.9 · Main paper

Tables, comparisons and evidence

The theorem statements distinguish FTRL from its induced strategy flow and distinguish subgames from arbitrary spans, rather than treating every stability concept as interchangeable.

Sections 3-6, pp.5-8 · Main paper

Appendix and reproducibility

The appendices supply related-work qualifications, regularizer assumptions and staged proofs; the main text points to them for the score-space argument and energy constructions.

Appendices A, D and F, pp.13,18,24 · Main paper

Clarity and writing conventions

A footnote acknowledges a correction: the counterexample refutes a stronger pure-local-source variant, not the original conjecture involving a mixed local source.

Related-work discussion and footnote 1, p.3 · Main paper

What to reuse—and what not to infer

Transferable lesson: Organize a theoretical paper around directions of implication and boundary cases, and keep the precise conjecture resolved distinct from nearby claims left open.

Boundary: Radness is sufficient rather than necessary in general; polynomial tests are measured in the explicit payoff-table size, not a succinct large multi-agent representation.

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, 2, 3, 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, 18, 24. Remaining appendix proofs and details were not exhaustively read. No separately linked supplement inspected.
Visually inspected PDF pages
2, 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.