Writing study: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents
← ICLR 2026 oral writing corpus
Deyu Zou, Yongqiang Chen, Jianxiang Wang, Garry YANG, Mufei Li, Qing Da, James Cheng, Pan Li, Yu Gong · Official ICLR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Learning & optimization algorithms (primary) · Theory & formal foundations.
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
- 35 physical pages
- Before references / appendix
- ≈ 10.21 page-equivalents
- Main figures / tables
- 6 / 3
- Attached appendix figures / tables
- 9 / 5
- Attached appendix span
- ≈ 20.48 page-equivalents
Extraction notes: Table numbering discontinuity; see source note. Zero means no recognized caption, not independently verified absence.
Source-bound correction: T3: retain the source's Table 4 numbering gap. Main-text Table 3 is followed by appendix Table 5 on physical page 27; raw bbox and extracted text contain no Table 4 caption or reference. Page 27 visually confirms the printed Table 5 and Table 6 labels. No missing Table 4 is synthesized.
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 | ≈ 1.24 pp. | 3.54% |
| 2 REINFORCEMENT LEARNING FOR ACTIVE REASONING | 2 | ≈ 2.91 pp. | 8.31% |
| 3 EXPERIMENTS | 5 | ≈ 4.7 pp. | 13.43% |
| 4 RELATED WORK | 10 | ≈ 0.36 pp. | 1.03% |
| 5 CONCLUSION | 10 | ≈ 0.32 pp. | 0.91% |
| ACKNOWLEDGMENTS | 11 | ≈ 0.1 pp. | 0.29% |
| REFERENCES | 11 | ≈ 4.23 pp. | 12.09% |
| REPRODUCIBILITY STATEMENT | 15 | ≈ 0.08 pp. | 0.23% |
| A NOTATION SUMMARY | 15 | ≈ 1.14 pp. | 3.26% |
| B MORE DETAILS ON THE THEORY | 16 | ≈ 7.45 pp. | 21.29% |
| C EMPIRICAL VERIFICATION OF THE THEORY | 24 | ≈ 3.07 pp. | 8.77% |
| D COMPLEMENTARY EMPIRICAL ANALYSIS | 27 | ≈ 1.93 pp. | 5.51% |
| E POTENTIAL FUTURE WORK | 29 | ≈ 0.44 pp. | 1.26% |
| F SETUP DETAILS | 29 | ≈ 6.46 pp. | 18.46% |
All detected figure and table locations
Main text
Argument and organization
- Failure mechanism to operational proxy
Introduces belief-trap dynamics, formalizes credit contamination and turns the theory into task-specific stopping rules.
- Outcomes and mechanism diagnostics
Separates benchmark gains, training/token curves, generalization, truncation ablations and appendix verification.
Problem, claim and contribution
A repeated-question failure becomes a named mechanism before a method is proposed, giving the reader a causal narrative rather than a collection of optimization tricks.
Sections 1–2, pp. 1–4 · Main paper
Argument and section order
The dedicated theory-to-practice subsection acknowledges unobservable beliefs and thresholds before defining observable surrogates; each task then specifies the actual rule.
Sections 2.2–3.1, pp. 4–6 · Main paper
Figures, captions and visual explanation
Figure 1 aligns a natural-language dialogue with symbolic belief/action/observation traces. Solid rollout arrows and dashed credit arrows distinguish execution from training attribution.
Figure 1, p. 2 · Main paper
Tables, comparisons and evidence
Paired baseline/method rows include absolute point changes, while separate curves report reward and response length. This helps distinguish improved scores from cheaper rollouts.
Table 1 and Figures 3–4, pp. 6–7 · Main paper
Appendix and reproducibility
A full contents page and notation table precede proofs; later appendices add false-positive truncation, ground-truth-free alternatives and complete interaction prompts.
Appendices A–F, pp. 14–35 · Main paper
Clarity and writing conventions
Some broad success language is contradicted by small declining cells, and the abstract's up-to-30-point headline differs from the 41-point movie-recommendation gain in the final table.
Abstract, Table 1 and Section 3.3.1 · Main paper
What to reuse—and what not to infer
Transferable lesson: Make the bridge from an idealized latent mechanism to the implementable observable rule explicit, and test mistaken intervention as well as successful intervention.
Boundary: Theory should be cited conditionally: expected nonnegative potential drift alone does not establish pathwise absorption, and the appendix's nonlinear-value expectation step requires additional justification. Preference-task main truncation uses ground truth; ground-truth-free variants are separate experiments. These qualifications do not erase the empirical gains.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-19
- Reading status
- Full text + selected visuals inspected
- Main text
- Pages 1–10, Sections 1–5, theory-to-proxy translation and all experimental analyses.
- Appendix / supplement
- Pages 14–35, contents and Appendices A–F including proofs, proxy diagnostics, variants, setup and every prompt template.
- Visually inspected PDF pages
- 2, 6