Writing study: Measuring Agents in Production
← ICML 2026 oral writing corpus
Melissa Pan, Negar Arabzadeh, Riccardo Cogo, Yuxuan Zhu, Alexander Xiong, Lakshya A Agrawal, Huanzhi Mao, Emma Shen, Sid Pallerla, Liana Patel, Shu Liu, Tianneng Shi, Xiaoyuan Liu, Jared Quincy Davis, Emmanuele Lacavalla, Alessandro Basile, Shuyi Yang, Paul Castro, Daniel Kang, Koushik Sen, Dawn Song, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia, Marquita Ellis · Official ICML 2026 oral record
Figure, table and section ledger
Editorial contribution type: Empirical analysis, diagnosis & auditing (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
- ≈ 9.04 page-equivalents
- Main figures / tables
- 8 / 0
- Attached appendix figures / tables
- 22 / 5
- Attached appendix span
- ≈ 32.91 page-equivalents
Source-bound correction: Source-checked physical-page text restores wrapped top-level heading labels on pp. 4, 5, 7, 8. 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 | ≈ 1.44 pp. | 3.06% |
| 2. Related Work | 2 | ≈ 0.33 pp. | 0.7% |
| 3. Study Methodology | 3 | ≈ 1.14 pp. | 2.43% |
| 4. RQ1 Results: What Are the Applications of Agents? | 4 | ≈ 1.06 pp. | 2.26% |
| 5. RQ2 Results: What Models, Architectures, And Techniques Are Used? | 5 | ≈ 1.98 pp. | 4.21% |
| 6. RQ3 Results: How Are Agents Evaluated For Deployment? | 7 | ≈ 0.86 pp. | 1.83% |
| 7. RQ4 Results: What Are The Top Challenges In Deployment? | 8 | ≈ 1.04 pp. | 2.21% |
| 8. Discussions & Conclusion | 9 | ≈ 0.59 pp. | 1.26% |
| Acknowledgements | 9 | ≈ 0.08 pp. | 0.17% |
| Impact Statement | 9 | ≈ 0.15 pp. | 0.32% |
| References | 10 | ≈ 5.04 pp. | 10.72% |
| A. Organization of Appendix | 15 | ≈ 0.23 pp. | 0.49% |
| B. Supplementary Results and Analysis | 15 | ≈ 6.49 pp. | 13.81% |
| C. Collected Data Details | 21 | ≈ 3.97 pp. | 8.45% |
| D. Results on All Survey Data | 25 | ≈ 4.8 pp. | 10.21% |
| E. Terminology | 30 | ≈ 0.11 pp. | 0.23% |
| F. Literature Review Scope and Categorization | 30 | ≈ 0.46 pp. | 0.98% |
| References | 31 | ≈ 0.37 pp. | 0.79% |
| G. Survey Questionnaire Details | 31 | ≈ 16.5 pp. | 35.11% |
All detected figure and table locations
Main text
Attached appendix
- Table 1 · p. 16
- Figure 9 · p. 17
- Figure 10 · p. 18
- Figure 11 · p. 19
- Table 2 · p. 19
- Figure 12 · p. 20
- Figure 13 · p. 21
- Figure 14 · p. 22
- Table 3 · p. 22
- Figure 15 · p. 23
- Figure 16 · p. 23
- Figure 17 · p. 23
- Figure 18 · p. 25
- Figure 19 · p. 26
- Figure 1 · p. 26
- Figure 20 · p. 27
- Figure 21 · p. 27
- Figure 22 · p. 28
- Figure 23 · p. 29
- Figure 24 · p. 29
- Figure 25 · p. 30
- Figure 26 · p. 30
- Table 4 · p. 31
- Figure 27 · p. 32
- Table 5 · p. 32
- Figure 28 · p. 46
- Figure 29 · p. 47
Argument and organization
- Problem and contribution
Contrasts primary practitioner evidence with literature surveys and single-system reports, distinguishing 306 valid survey responses, an 86-system production/pilot subset and 20 interviews.
- Argument sequence
Four research questions organize results after collection, filtering, human coding and limitations; case identifiers connect numerical findings to deployment explanations.
- Evidence and verification
Optional branched questions explain differing response counts; three independent human coders and peer debriefing support interview themes, while stated bootstrap intervals characterize sampling variation rather than remove participation bias.
Problem, claim and contribution
Contrasts primary practitioner evidence with literature surveys and single-system reports, distinguishing 306 valid survey responses, an 86-system production/pilot subset and 20 interviews.
Introduction and methodology, pp. 2-3 · Main paper
Argument and section order
Four research questions organize results after collection, filtering, human coding and limitations; case identifiers connect numerical findings to deployment explanations.
Sections 3-8, pp. 3-9 · Main paper
Figures, captions and visual explanation
Charts print percentages, counts and question-specific N, with captions identifying multi-select questions. Boxed findings help navigation but need the neighboring denominator rather than the headline survey total.
Figure 4, p. 5; Figure 8, p. 8; both PNGs inspected · Main paper
Tables, comparisons and evidence
Optional branched questions explain differing response counts; three independent human coders and peer debriefing support interview themes, while stated bootstrap intervals characterize sampling variation rather than remove participation bias.
Sections 3.1-3.3, pp. 3-4; Appendix G, pp. 31-47 · Main paper
Appendix and reproducibility
The appendix preserves unfiltered-stage results alongside deployed-only analyses and exposes survey flow and wording, allowing readers to inspect selection and missingness rather than assume one common denominator.
Appendix D, pp. 25-29; G, pp. 31-47 · Main paper
Clarity and writing conventions
Results distinguish survey reports from interview interpretations, but a local prose/chart mismatch remains: p. 8 calls rule-based use 42%, while Figure 8 reports 38.7% (12/31); cross-referencing is 41.9%.
Section 6.2 and Figure 8, p. 8 · Main paper
What to reuse—and what not to infer
Transferable lesson: In a mixed-methods paper, carry the evidence source, item-specific denominator and sampling limits into every compressed finding.
Boundary: Participation and network sampling, optional answers and the April-November 2025 window limit generalization; reported practices do not prove that a design causes production reliability or represent all deployed agents.
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 1-8, pp. 1-9: research questions, interview/survey methods and limitations, applications, engineering choices, evaluation practices, reliability themes and discussion.
- Appendix / supplement
- Writing-focused appendix scan; code, data and external assets not executed. Appendices A-G, pp. 15-47: organization, detailed findings, case/survey provenance, unfiltered results, terminology, related work, question text and survey branching diagrams.
- 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.