Writing study: MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting
← NeurIPS 2026 oral writing corpus
Justin Kay, Shir Bar, Ellen O Aikens, Martin Becker, Francesca Cagnacci, Juliet Cohen, Scott W Forrest, Jessica Kendall-Bar, Madeleine Lucas, Macon Overcast, Meredith S Palmer, Will Rogers, Nicholas J Russo, Christian Rutz, Larissa T Beumer, Michael B Brown, Ying-Chi Chan, Sarah C Davidson, Diego E Soto, Anne G Hertel, Roland Kays, Benjamin Koger, Guram Mikaberidze, Thomas Mueller, Ruth Oliver, Thorsten Papenbrock, Robert Patchett, Jared A Stabach, Dane Taylor, Scott W Yanco, Sara Beery · Official NeurIPS 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
- 72 physical pages
- Before references / appendix
- ≈ 10.09 page-equivalents
- Main figures / tables
- 4 / 2
- Attached appendix figures / tables
- 1 / 8
- Attached appendix span
- ≈ 34.91 page-equivalents
Source-bound correction: Source-checked 2026-10-02: remove the false bibliography Appendix A on page 28 and the A-G contents entries on page 38. Keep page 38 as the appendix cover/contents boundary, and measure real section starts on pages 39, 40, 45, 52, 52, 53 and 55. The long references section begins on page 11 and continues through page 37.
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 | ≈ 2.51 pp. | 3.49% |
| 2 Related work | 4 | ≈ 0.39 pp. | 0.54% |
| 3 Movement forecasting | 4 | ≈ 0.94 pp. | 1.31% |
| 4 MOVEBENCH | 5 | ≈ 0.88 pp. | 1.22% |
| 5 Metrics | 6 | ≈ 0.96 pp. | 1.33% |
| 6 Experiments | 7 | ≈ 2.77 pp. | 3.85% |
| 7 Discussion and Conclusion | 10 | ≈ 0.47 pp. | 0.65% |
| Acknowledgments | 10 | ≈ 0.41 pp. | 0.57% |
| References | 11 | ≈ 27 pp. | 37.5% |
| Appendix | 38 | ≈ 1 pp. | 1.39% |
| A Additional related work | 39 | ≈ 1.08 pp. | 1.5% |
| B Trajectory datasets | 40 | ≈ 5.68 pp. | 7.89% |
| C Environmental covariates | 45 | ≈ 6.53 pp. | 9.07% |
| D Metrics | 52 | ≈ 0.29 pp. | 0.4% |
| E Method details | 52 | ≈ 1.19 pp. | 1.65% |
| F Hyperparameters | 53 | ≈ 1.24 pp. | 1.72% |
| G Additional experiment details | 55 | ≈ 17.91 pp. | 24.88% |
All detected figure and table locations
Argument and organization
- Problem and contribution
The benchmark motivates probabilistic wildlife movement forecasts in continuous environments rather than repackaging road-constrained human trajectories. It explains why individual transfer, species diversity and environmental covariates change the evaluation problem before discussing model scores.
- Argument sequence
The paper defines a forecast and its inputs, describes corpus construction, specifies a distributional metric, and only then evaluates baselines under temporal and held-out-individual splits. The appendix carries the extensive source attribution and disaggregated study results needed to inspect such a heterogeneous corpus.
- Evidence and verification
The main comparison retains simple motion baselines and distinguishes temporal forecasting from transfer to new individuals. Normalized energy score measures a predicted distribution, not merely a point location. The text reports settings where deep approaches do not consistently beat simpler baselines; Figure 4 adds probability-surface examples rather than only trajectory overlays.
Problem, claim and contribution
The benchmark motivates probabilistic wildlife movement forecasts in continuous environments rather than repackaging road-constrained human trajectories. It explains why individual transfer, species diversity and environmental covariates change the evaluation problem before discussing model scores.
Introduction pp. 1–3; forecasting formulation §3, p. 4; dataset §4, p. 5 · Main paper
Argument and section order
The paper defines a forecast and its inputs, describes corpus construction, specifies a distributional metric, and only then evaluates baselines under temporal and held-out-individual splits. The appendix carries the extensive source attribution and disaggregated study results needed to inspect such a heterogeneous corpus.
§§3–5, pp. 4–6; evaluation pp. 7–9; Appendices B–G, pp. 40–72 · Main paper
Figures, captions and visual explanation
Figure 1 is a coordinated six-panel overview: a world map, covariate layers, species-specific trajectories with scale bars, forecast-task sketch, phylogenetic coverage and movement ranges. Figure 3 uses repeated axes and separate split rows to compare covariate use, taxonomic groups, movement ranges and horizons without hiding subgroup behavior in one mean.
Figure 1, p. 2; Figure 3, p. 8; rendered pages 2 and 8 · Main paper
Tables, comparisons and evidence
The main comparison retains simple motion baselines and distinguishes temporal forecasting from transfer to new individuals. Normalized energy score measures a predicted distribution, not merely a point location. The text reports settings where deep approaches do not consistently beat simpler baselines; Figure 4 adds probability-surface examples rather than only trajectory overlays.
Metric §5, p. 6; Figure 3 and results, pp. 7–8; Figure 4, p. 9 · Main paper
Appendix and reproducibility
Source-study tables include provenance/licensing and curation details; covariate tables record cadence, spatial resolution and licenses. Table 10 is one long continued per-study result table across pp. 55–71, not seventeen independent tables. This is an evidence appendix organized for attribution and heterogeneity, not a target page budget.
Appendix B and Table 3, pp. 40–45; Appendix C and Tables 4–9, pp. 46–51; Appendix G and Table 10, pp. 55–71; compute p. 72 · Main paper
Clarity and writing conventions
The writing connects task choices to biological variation and uses split-specific, horizon-specific language rather than a universal best-model claim. Its extensive citations document source studies; the unusual reference/appendix length should not be mistaken for a typical conference manuscript requirement.
Task and evaluation framing pp. 4–9; references pp. 11–38; study provenance pp. 40–44 · Main paper
What to reuse—and what not to infer
Transferable lesson: For a heterogeneous benchmark, visualize coverage, define the prediction and split contract, report subgroup/horizon behavior, and make the original data sources and licenses independently inspectable.
Boundary: The public 72-page author version is not a verified submission or camera-ready page budget. The included wildlife studies do not constitute a random or exhaustive sample of all wildlife movement.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-10-02
- Reading status
- Writing-focused manuscript scan + selected visuals inspected
- Main text
- Writing-oriented scan across manuscript framing, section sequence, figure/table captions, selected argument/evaluation prose and conclusion; not exhaustive technical or proof verification. Main Sections 1–7, pp. 1–10. References span pp. 11–38 in the public 72-page version. Rendered the corpus/task overview p. 2 and grouped performance analysis p. 8. Source is the exact public author version listed below, not a verified accepted/camera-ready revision.
- Appendix / supplement
- Writing-oriented appendix/documentation scan: Appendices A–G, pp. 39–72: related context, study provenance and curation, environmental covariates, metrics, implementation, hyperparameters, per-study results and compute. Source code, data, model outputs and external video assets were not executed or independently validated.
- Visually inspected PDF pages
- 2, 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.