▸case-01 Can you help me format my IEEE VIS manuscript's LaTeX preamble? I need the exact VGTC template commands to adjust author affiliations, line spacing, and balance column lengths for camera-ready submission. | pass→fail | 20,014 | 25,517 | +27% | 1 | 1 | 0% | 2,488 | 5,093 | +105% | 0 | 0 | — |
▸case-02 Please rewrite my 150-word abstract for an ACM CHI submission about screen-reader voice navigation gestures to sound more concise and impactful. | fail→fail | 5,512 | 10,475 | +90% | 1 | 1 | 0% | 811 | 3,382 | +317% | 0 | 0 | — |
▸case-03 We received a review for our EuroVis paper complaining that our user study with 8 participants was underpowered. Can you help us draft a 200-word rebuttal paragraph addressing this reviewer point? | pass→fail | 17,704 | 16,970 | -4% | 1 | 1 | 0% | 1,848 | 3,462 | +87% | 0 | 0 | — |
▸case-04 I am preparing a manuscript on an interactive visual analytics platform for analyzing typhoon ensemble predictions with meteorological teams in East Asia. I'm considering submitting to PacificVis. Could you evaluate my paper's suitability and provide a structured submission analysis? Please include the fit level with a brief rationale, the target venue, the primary contribution classification, the biggest evidence gap in our draft, official submission items we need to re-verify on the live call for papers, the main venue-specific risk of rejection, and alternative conference suggestions if needed. | fail→pass | 25,182 | 10,938 | -57% | 1 | 1 | 0% | 2,698 | 3,223 | +19% | 0 | 0 | — |
▸case-05 We have drafted a paper presenting a new matrix-based encoding technique for temporal network visualizations, validated with a controlled user study. We are aiming for IEEE Pacific Visualization Symposium. Please run a venue-fit assessment and output a breakdown that contains: the fit assessment with short reason, the target conference, the contribution type, the key evidence or proof gap, official author kit and policy points to re-verify, the top rejection threat, and any re-routing recommendations if this is not the right fit. | fail→fail | 15,380 | 13,225 | -14% | 1 | 1 | 0% | 1,653 | 3,165 | +91% | 0 | 0 | — |
▸case-06 I am adapting a research paper about a mobile interface for field survey workers in Southeast Asia into a submission for IEEE Pacific Visualization Symposium. The paper mainly focuses on user workflow efficiency rather than custom visual designs. Can you analyze whether PacificVis is appropriate for this work? Format your response to explicitly cover fit level plus rationale, designated venue, contribution categorization, main missing evidence element, official CFP compliance checklist items, primary rejection risk for this venue, and alternate target conferences if re-routing is advised. | pass→pass | 22,696 | 12,210 | -46% | 1 | 1 | 0% | 2,806 | 2,959 | +5% | 0 | 0 | — |
▸case-07 We built an AI explainability dashboard for medical imaging diagnostics in hospital networks. The system renders saliency maps and feature attribution heatmaps, but we have only conducted expert walkthroughs without formal user study metrics or quantitative evaluation. We want to submit to PacificVis as a system paper. Evaluate our submission readiness, using the bracketed submission analysis layout ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 18,854 | 12,455 | -34% | 1 | 1 | 0% | 2,115 | 3,075 | +45% | 0 | 0 | — |
▸case-08 We posted an arXiv pre-print introducing a GPU-accelerated graph layout algorithm for large-scale social networks. We want to re-frame this manuscript for submission to IEEE Pacific Visualization Symposium. Run a venue suitability review and present your analysis using the bracketed fields ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→fail | 10,376 | 8,632 | -17% | 1 | 1 | 0% | 1,689 | 3,337 | +98% | 0 | 0 | — |
▸case-09 We are condensing a 14-page journal manuscript on 3D multivariate glyph design for oceanographic data into a conference submission for PacificVis. The journal draft has extensive background theory but lacks comparison against recent visualization papers. Provide a structured conference-fit assessment outputting the mandatory bracketed lines ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→pass | 13,047 | 9,550 | -27% | 1 | 1 | 0% | 2,243 | 3,282 | +46% | 0 | 0 | — |
▸case-10 Our manuscript introduces a universal visualization framework claiming to solve high-dimensional data exploration problems across all domain disciplines. We are considering submitting it to PacificVis because we want an Asia-Pacific venue. Provide a venue fit assessment using the required bracketed fields ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→fail | 12,380 | 12,025 | -3% | 1 | 1 | 0% | 2,083 | 3,037 | +46% | 0 | 0 | — |
▸case-11 We developed a screen-reader tactile tablet interface designed for visually impaired students learning geometry. There are no visual encodings or visual analytics components in the paper. We are considering PacificVis as a visual media venue. Provide a fit analysis formatted with the standard bracketed structure ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 10,303 | 4,835 | -53% | 1 | 1 | 0% | 1,747 | 2,607 | +49% | 0 | 0 | — |
▸case-12 We trained a vision transformer model for automated weed detection in drone agricultural imagery, achieving 96% accuracy. We want to submit this to PacificVis because bounding boxes are rendered on output photos. Give us a venue suitability analysis formatted using the bracketed lines ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→fail | 14,753 | 8,969 | -39% | 1 | 1 | 0% | 1,781 | 2,923 | +64% | 0 | 0 | — |
▸case-13 We created a visual analytics system tailored for Tokyo metro operators to analyze peak-hour passenger flow congestion. The paper includes visual design rationales, custom flow encodings, and a deployment evaluation with transit planners. Provide a submission readiness assessment using the bracketed fields ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→pass | 14,152 | 12,050 | -15% | 1 | 1 | 0% | 1,434 | 2,947 | +106% | 0 | 0 | — |
▸case-14 We developed an AI-infused visual steering interface for generative text models. Our paper evaluates participant subjective satisfaction using Likert scales, but provides no evaluation of underlying model latency or error modes. We want to submit to PacificVis. Please provide a venue assessment in the bracketed format ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 12,306 | 7,201 | -41% | 1 | 1 | 0% | 2,023 | 2,954 | +46% | 0 | 0 | — |
▸case-15 We have a paper introducing a high-density scatterplot sampling method for PacificVis. However, our related work section only compares our method against algorithms published prior to 2015, ignoring recent scatterplot techniques from 2022 to 2024. Perform a venue-fit diagnosis using the bracketed structure ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 12,661 | 6,836 | -46% | 1 | 1 | 0% | 2,093 | 2,962 | +42% | 0 | 0 | — |
▸case-16 We are preparing a paper on hierarchical tree visualization for PacificVis and want to know what official domain and submission requirements we must verify before formatting our final draft. Please perform a venue analysis in the bracketed layout ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→fail | 18,233 | 12,402 | -32% | 1 | 1 | 0% | 1,785 | 3,019 | +69% | 0 | 0 | — |
▸case-17 We engineered a novel 6-DOF mid-air spatial gesture interaction technique using Leap Motion controllers for manipulating 3D objects on screens. The paper focuses on gesture recognition latency rather than visual representation choices. Is PacificVis a good target? Please give a venue fit analysis in the bracketed schema ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→pass | 9,730 | 5,840 | -40% | 1 | 1 | 0% | 1,687 | 2,829 | +68% | 0 | 0 | — |
▸case-18 We designed a visual analytics tool for cancer genomic variant analysis in collaboration with clinical oncologists in Australia. The paper details both the bioinformatic data processing pipelines and visual genomic encodings. Provide a venue fit assessment using the bracketed format ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→fail | 11,081 | 6,890 | -38% | 1 | 1 | 0% | 1,744 | 2,947 | +69% | 0 | 0 | — |
▸case-19 We created a benchmark dataset of 50,000 annotated visualization charts collected from news outlets across East Asia to train chart understanding algorithms. We want to present this at PacificVis. Evaluate our submission using the bracketed format ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 17,207 | 11,915 | -31% | 1 | 1 | 0% | 1,915 | 2,947 | +54% | 0 | 0 | — |
▸case-20 We proposed a color mapping strategy for multi-spectral satellite imagery designed for environmental monitoring in the Pacific region. We included theoretical color perception proofs but no user study or domain expert feedback. Provide a submission readiness assessment formatted as bracketed lines ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 15,290 | 12,445 | -19% | 1 | 1 | 0% | 1,633 | 3,043 | +86% | 0 | 0 | — |
▸case-21 We wrote a theoretical taxonomy categorizing interaction techniques for streaming time-series visualizations. The paper analyzes 120 existing publications to build a conceptual design space. Provide a venue-fit assessment for PacificVis formatted in the bracketed style ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 10,000 | 6,683 | -33% | 1 | 1 | 0% | 1,672 | 2,844 | +70% | 0 | 0 | — |
▸case-22 Our manuscript for PacificVis contains direct links to our lab repository containing author names in commit histories, and includes participant video stills showing identifiable faces without consent disclosures. Run a venue compliance diagnosis using the bracketed layout ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 10,082 | 11,955 | +19% | 1 | 1 | 0% | 1,656 | 2,865 | +73% | 0 | 0 | — |
▸case-23 We developed a fast content-based video retrieval algorithm that indexes surveillance video based on color histograms and motion vectors. We submitted a demo paper to PacificVis emphasizing search speed. Evaluate our paper using the bracketed analysis format ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | pass→pass | 11,651 | 11,229 | -4% | 1 | 1 | 0% | 1,886 | 2,902 | +54% | 0 | 0 | — |
▸case-24 We built a multi-touch tabletop visual analytics system for disaster response teams during typhoon emergencies in the Philippines. We evaluated decision-making efficiency with emergency responders. Evaluate venue fit for PacificVis in the required bracketed schema ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→pass | 16,007 | 6,395 | -60% | 1 | 1 | 0% | 1,880 | 2,889 | +54% | 0 | 0 | — |
▸case-25 Our PacificVis draft places all user study statistical analyses and visual interface screenshots in an unlinked external drive folder, leaving only a 2-page summary in the main manuscript. Run a venue suitability review using the bracketed output schema ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]). | fail→fail | 9,019 | 12,276 | +36% | 1 | 1 | 0% | 1,493 | 2,754 | +84% | 0 | 0 | — |