Writing study: CausalGame: Benchmarking Causal Thinking of LLM Agents in Games
← ICML 2026 oral writing corpus
Zhenhao Chen, Yongqiang Chen, Chenxi Liu, Junchi Yu, Xiangchen Song, Zijian Li, Jialin Li, Philip Torr, Bo Han, Kun Zhang · Official ICML 2026 oral record
Figure, table and section ledger
Editorial contribution type: Datasets, benchmarks & measurement (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
- 40 physical pages
- Before references / appendix
- ≈ 9.23 page-equivalents
- Main figures / tables
- 12 / 4
- Attached appendix figures / tables
- 12 / 18
- Attached appendix span
- ≈ 23.91 page-equivalents
Source-bound correction: Table 12 has a split label/caption at the top of physical p.28; source text and a rendered page confirm the omitted caption.
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 | ≈ 1.55 pp. | 3.88% |
| 2. Related Work | 2 | ≈ 0.9 pp. | 2.25% |
| 3. CausalGame Benchmark | 3 | ≈ 2.06 pp. | 5.15% |
| 4. Experiments | 5 | ≈ 3.99 pp. | 9.98% |
| 5. Conclusions | 9 | ≈ 0.19 pp. | 0.47% |
| Acknowledgements | 10 | ≈ 0.11 pp. | 0.27% |
| Impact Statement | 10 | ≈ 0.08 pp. | 0.2% |
| References | 10 | ≈ 6.85 pp. | 17.13% |
| A. Limitations and Future Works | 17 | ≈ 0.31 pp. | 0.78% |
| B. Related Work | 17 | ≈ 1.29 pp. | 3.23% |
| C. Details of CausalGame Benchmark | 18 | ≈ 6.16 pp. | 15.4% |
| D. Details of Experimental Results | 24 | ≈ 7.34 pp. | 18.35% |
| E. Rubrics used for evaluation | 32 | ≈ 2.89 pp. | 7.23% |
| F. Sample Agent Trajectories | 35 | ≈ 1.77 pp. | 4.42% |
| G. Additional Analysis | 36 | ≈ 4.15 pp. | 10.38% |
All detected figure and table locations
Main text
Attached appendix
- Table 5 · p. 19
- Table 6 · p. 19
- Table 7 · p. 21
- Table 8 · p. 21
- Table 9 · p. 24
- Table 10 · p. 25
- Figure 13 · p. 25
- Figure 14 · p. 26
- Figure 15 · p. 26
- Figure 16 · p. 26
- Table 11 · p. 27
- Figure 17 · p. 27
- Table 12 · p. 28
- Table 13 · p. 28
- Table 14 · p. 29
- Table 15 · p. 29
- Table 16 · p. 30
- Table 17 · p. 30
- Figure 18 · p. 31
- Table 18 · p. 32
- Table 19 · p. 34
- Table 20 · p. 35
- Table 21 · p. 36
- Table 22 · p. 37
- Figure 19 · p. 37
- Figure 20 · p. 38
- Figure 21 · p. 39
- Figure 22 · p. 39
- Figure 23 · p. 40
- Figure 24 · p. 40
Argument and organization
- 1 Introduction; 2 Related Work
Motivates a causal-thinking evaluation gap in scientific-agent benchmarks.
- 3 CausalGame Benchmark
Defines interaction budgets, hidden mechanisms, biased observations and separate outcome/rubric scoring.
- 4 Experiments; 5 Conclusions
Organizes observations, execution-mode controls, cross-benchmark correlations and judge/trajectory failure diagnostics.
Problem, claim and contribution
The benchmark distinguishes obtaining a good final design from correctly explaining the mechanism, making the construct broader than reward maximization alone.
Sections 3.1 and 3.3, physical pp.4–5 · Main paper
Argument and section order
Simulator rules and exploration/evaluation budgets precede the leaderboard; rubric reliability is discussed before interpreting rubric-derived failure categories.
Sections 3–4, pp.3–8 · Main paper
Figures, captions and visual explanation
The pipeline explicitly joins observed history, active experiments and a final report; the analysis page places failure definitions alongside correlation and inter-rater plots.
Figure 2, p.3; Table 4 and Figures 8–9, p.8 · Main paper
Tables, comparisons and evidence
Main error bars summarize variation across scenarios, whereas experiments use three independent trials per model/scenario and appendices separately report uncertainty. The agent/prompt modes differ in several capabilities, not only interaction count.
Section 4.1 and Figures 4–6, p.6 · Main paper
Appendix and reproducibility
SCM tables make intervention, hidden variables, observed cues and win thresholds inspectable; the rubric table assigns explicit weights and the judge prompt asks for evidence-grounded decisions.
Tables 7–8, p.21; Table 18 and Appendix E, p.32 · Main paper
Clarity and writing conventions
A judge-independent configuration-path analysis complements LLM-scored explanations, separating an observable search failure from an inferred reasoning defect.
Configuration-based analysis and Figure 12, p.9 · Main paper
What to reuse—and what not to infer
Transferable lesson: For a reasoning benchmark, define the latent mechanism, permissible interventions, outcome score and process rubric separately, then validate the rubric with another observable analysis.
Boundary: Toy simulator failures are not proof that all scientific reasoning is absent or that medical deployment is safe/unsafe. Agreement among LLM judges is not ground-truth validity. The main 5–8-point threshold description does not cover Weather Noise’s 78% optimum versus 55% threshold in Table 8; preserve scenario-specific rules.
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 scan across physical PDF pp.1–9, covering framing, section progression, definitions, method/evidence explanations, captions and scope. Physical pages extracted individually to avoid form-feed pagination errors. Selected full-page rasters inspected; not exhaustive line-by-line technical verification or experimental reproduction.
- Appendix / supplement
- Appendix heading/structure inventory checked across the source; selected detail reading of SCM specifications and optimal-survival definitions C.3–C.4 (p.21) and rubric/prompt E (p.32). Full prompts, all trajectory examples and numerical appendices were not exhaustively read or reproduced.
- Visually inspected PDF pages
- 3, 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.