Writing study: Detecting the Semantic Fixed Point: A Geometric Framework for Efficient Inference
← ICML 2026 oral writing corpus
Jiawei Gu, Ziyue Qiao, Xiao Luo · Official ICML 2026 oral record
Figure, table and section ledger
Editorial contribution type: Efficiency, inference & systems (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
- 34 physical pages
- Before references / appendix
- ≈ 8.4 page-equivalents
- Main figures / tables
- 3 / 10
- Attached appendix figures / tables
- 7 / 10
- Attached appendix span
- ≈ 22.91 page-equivalents
Source-bound correction: Source-checked physical-page text restores wrapped top-level heading labels on pp. 2. 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 heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1. Introduction | 1 | ≈ 1.54 pp. | 4.53% |
| 2. Phenomenon: Two-Phase Structure of Hidden State Trajectories | 2 | ≈ 1.17 pp. | 3.44% |
| 3. Method | 4 | ≈ 1.87 pp. | 5.5% |
| 4. Experiments | 5 | ≈ 3.14 pp. | 9.24% |
| 5. Conclusion | 9 | ≈ 0.17 pp. | 0.5% |
| Acknowledgement | 9 | ≈ 0.05 pp. | 0.15% |
| Impact Statement | 9 | ≈ 0.12 pp. | 0.35% |
| References | 9 | ≈ 2.68 pp. | 7.88% |
| A. Related Work | 12 | ≈ 1 pp. | 2.94% |
| B. Theoretical Analysis | 13 | ≈ 10.34 pp. | 30.41% |
| C. Experimental Details | 23 | ≈ 2.41 pp. | 7.09% |
| D. Deep Dissection of Representation Geometry | 25 | ≈ 3.72 pp. | 10.94% |
| E. Systematic Validation Across Conditions | 29 | ≈ 5.44 pp. | 16% |
All detected figure and table locations
Main text
Argument and organization
- Problem and contribution
Contrasts output confidence with internal representation convergence, emphasizing the vocabulary-sized projection cost of repeated confidence checks.
- Argument sequence
An empirical phase pattern motivates the predicate; the inference pipeline states request-level depth selection before reporting retained performance and actual overhead.
- Evidence and verification
Matched-average-depth comparison tests adaptivity, while latency breakdown tests whether avoided layers survive decision overhead; appendix certificates require a specified contraction regime.
Problem, claim and contribution
Contrasts output confidence with internal representation convergence, emphasizing the vocabulary-sized projection cost of repeated confidence checks.
Introduction, p. 2 · Main paper
Argument and section order
An empirical phase pattern motivates the predicate; the inference pipeline states request-level depth selection before reporting retained performance and actual overhead.
Sections 2-4, pp. 2-8 · Main paper
Figures, captions and visual explanation
Performance-retention rows remain distinct from raw task scores. A diagnostic multipanel separates exit distributions, failure modes, static-depth controls, fitted decay and measured/theoretical speed.
Tables 2-5, p. 5; Figure 3, p. 8; both PNGs inspected · Main paper
Tables, comparisons and evidence
Matched-average-depth comparison tests adaptivity, while latency breakdown tests whether avoided layers survive decision overhead; appendix certificates require a specified contraction regime.
Section 4.5, p. 8; Appendix B.8-B.11, pp. 20-23 · Main paper
Appendix and reproducibility
The supplement records last-token state storage, numerical small-step handling, per-option scoring and tokenizer-boundary checks, alongside broader geometry diagnostics.
Appendix C.1-C.4, pp. 23-24; E, pp. 29-34 · Main paper
Clarity and writing conventions
The title's fixed-point idea is made concrete through step size and directional stability, but semantic convergence is stronger language than stable internal geometry alone supports.
Sections 2-3, pp. 2-5 · Main paper
What to reuse—and what not to infer
Transferable lesson: Pair a cheap stopping signal with matched-compute controls and end-to-end latency, not only a reduction in layers.
Boundary: Prompt-level truncation is not token-adaptive exit; empirical small updates do not certify correctness or establish all the assumptions of the appendix bounds.
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 1-5, pp. 1-9: geometric phenomenon, stopping predicate, request-level inference, accuracy/compute comparisons, ablations and diagnostics.
- Appendix / supplement
- Writing-focused appendix scan; code, data and external assets not executed. Appendices A-E, pp. 12-34: related work, conditional error/certificate derivations, implementation/evaluation, representation dissection and cross-condition/architecture plots.
- 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.