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"", "access": { "status": "unknown", "detail": "Version, split, tools and current results must accompany comparison.", "detail_zh": "比较时必须同时说明版本、数据划分、所用工具和当前结果。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": null, "creators": [], "task": "Assess advanced mathematical reasoning on FrontierMath problems.", "inputs": "Model answers under the benchmark's stated evaluation setup.", "outputs": "Benchmark results for the reported version and conditions.", "geography": "", "dependencies": "", "limitations": "A benchmark result does not establish general mathematical capability outside its version, split and tool setting.", "evaluation_conditions": "Record benchmark version, split, model version, tools, budget and result source for every comparison.", "task_zh": "在 FrontierMath 问题上评估高阶数学推理。", "inputs_zh": "模型在基准规定评测设置下给出的答案。", "outputs_zh": "针对所报告版本和条件的基准结果。", "geography_zh": "", "dependencies_zh": "", "limitations_zh": "基准结果不能证明模型在其版本、数据划分和工具设置之外具有普遍数学能力。", "evaluation_conditions_zh": "每次比较均记录基准版本、数据划分、模型版本、工具、预算和结果来源。", "editorial_reviewed": { "zh": false, "en": false }, "fields": [ "infrastructure", "math" ], "task_tags": [ "evaluation", "mathematical reasoning" ], "task_tags_zh": [ "数学推理", "评测" ], "evidence": [ { "url": "https://epoch.ai/frontiermath", "kind": "project_page", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/zh/resources/benchmark-frontiermath/" }, "en": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/en/resources/benchmark-frontiermath/" } }, "event_associations": [ { "event_id": "eb79fc4afc2b900296c0", "relation": "related", "source_url": "https://epoch.ai/frontiermath/open-problems/about/", "validated_at": "2026-09-20", "legacy": false } ], "event_ids_by_locale": { "zh": [ "eb79fc4afc2b900296c0" ], "en": [ "eb79fc4afc2b900296c0" ] }, "event_ids": [ "eb79fc4afc2b900296c0" ] }, { "id": "benchmark-weatherbench-2", "provider": "Google Research", "resource_type": "benchmark", "title": "WeatherBench 2", "url": "https://weatherbench2.readthedocs.io/", "version": "2", "license": "", "access": { "status": "unknown", "detail": "Documentation proves an evaluation resource, not a universal leaderboard.", "detail_zh": "文档证明它是评测资源，不代表通用排行榜。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": null, "creators": [], "task": "Evaluate data-driven weather forecasts against reference weather data.", "inputs": "Forecast fields and reference data in the documented format.", "outputs": "Task-specific weather-forecast evaluation metrics.", "geography": "", "dependencies": "", "limitations": "Metrics depend on variables, lead times, regions and reference data; it is not a single global leaderboard.", "evaluation_conditions": "Retain WeatherBench version, data period, variables, lead times, spatial domain and metric definitions.", "task_zh": "以参考天气数据评估数据驱动的天气预报。", "inputs_zh": "按文档格式提供的预报场和参考数据。", "outputs_zh": "针对具体天气预报任务的评测指标。", "geography_zh": "", "dependencies_zh": "", "limitations_zh": "指标取决于变量、预报时效、区域和参考数据，不是单一的全球排行榜。", "evaluation_conditions_zh": "保留 WeatherBench 版本、数据时期、变量、预报时效、空间范围和指标定义。", "editorial_reviewed": { "zh": false, "en": false }, "fields": [ "climate", "infrastructure" ], "task_tags": [ "evaluation", "weather forecasting" ], "task_tags_zh": [ "天气预报", "评测" ], "evidence": [ { "url": "https://weatherbench2.readthedocs.io/", "kind": "documentation", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/zh/resources/benchmark-weatherbench-2/" }, "en": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/en/resources/benchmark-weatherbench-2/" } }, "event_associations": [], "event_ids_by_locale": { "zh": [], "en": [] }, "event_ids": [] }, { "id": "dataset-alphaearth-satellite-embedding-v1-annual", "provider": "Google Earth Engine / Google DeepMind", "resource_type": "dataset", "title": "Satellite Embedding V1 Annual (AlphaEarth Foundations)", "url": "https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL", "version": "dataset 1.1; model 2.1", "license": "CC-BY 4.0", "access": { "status": "restricted", "detail": "Earth Engine registration is required; the GCS bucket is marked provider-pays. This does not establish that all downstream computing is free.", "detail_zh": "需要注册 Earth Engine；GCS 存储桶标为由提供方付费（provider pays）。这不表示所有下游计算均免费。" }, "maintenance_status": "active", "first_published": null, "version_published": "2025-11-17", "data_reference_period": "2017-01-01 to 2025-01-01 dataset availability; annual surface-condition reference periods", "data_reference_period_zh": "数据集可用时期为 2017-01-01 至 2025-01-01；年度地表状况参考时期。", "last_checked": "2026-09-20", "creators": [ "Google Earth Engine", "Google DeepMind" ], "task": "Global geospatial embedding mapping, classification and change detection.", "inputs": "Earth Engine image collection; downstream labels or analysis design.", "outputs": "64-dimensional 10 m annual embedding images.", "geography": "Global terrestrial land and shallow waters; polar coverage limited by sensor orbits.", "dependencies": "Earth Engine registration; Cloud Storage access is provider-pays.", "limitations": "Embedding axes are not independently interpretable; dataset cards describe model/data versions separately.", "evaluation_conditions": "Do not compare model claims without dataset/model version, period and downstream task conditions.", "task_zh": "全球地理空间嵌入制图、分类与变化检测。", "inputs_zh": "Earth Engine 影像集合，以及下游标签或分析设计。", "outputs_zh": "10 米年度 64 维嵌入影像。", "geography_zh": "全球陆地和浅水区；极地覆盖受传感器轨道限制。", "dependencies_zh": "需要注册 Earth Engine；Cloud Storage 为 provider-pays。", "limitations_zh": "嵌入轴不能独立解释；数据卡分别说明模型和数据版本。", "evaluation_conditions_zh": "比较模型结果时必须同时写明数据集/模型版本、时期及下游任务条件。", "editorial_reviewed": { "zh": true, "en": true }, "fields": [ "climate", "ecology", "infrastructure" ], "task_tags": [ "change detection", "classification", "mapping" ], "task_tags_zh": [ "分类", "制图", "变化检测" ], "evidence": [ { "url": "https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL", "kind": "official_dataset_card", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": true, "permalink": "https://juanli.me/ai4science/zh/resources/dataset-alphaearth-satellite-embedding-v1-annual/" }, "en": { "display": true, "index": true, "permalink": "https://juanli.me/ai4science/en/resources/dataset-alphaearth-satellite-embedding-v1-annual/" } }, "event_associations": [], "event_ids_by_locale": { "zh": [], "en": [] }, "event_ids": [] }, { "id": "model-aion-1", "provider": "Polymathic AI", "resource_type": "model", "title": "AION-1", "url": "https://polymathic-ai.org/blog/aion-1/", "version": "1", "license": "", "access": { "status": "unknown", "detail": "Primary announcement is evidence of the project, not a claim that weights are downloadable.", "detail_zh": "原始公告可证明项目存在，但不能据此称权重可下载。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": null, "creators": [], "task": "Provide astronomical representation learning described by the AION-1 project announcement.", "inputs": "Astronomical data under the project release conditions.", "outputs": "Project-described astronomical representations.", "geography": "", "dependencies": "", "limitations": "The announcement does not prove that weights are downloadable or independently validated.", "evaluation_conditions": "Record release version, astronomical task, data split and metric for any reported result.", "task_zh": "提供 AION-1 项目公告所述的天文表征学习。", "inputs_zh": "在项目发布条件下使用的天文数据。", "outputs_zh": "项目所述的天文表征。", "geography_zh": "", "dependencies_zh": "", "limitations_zh": "公告不能证明权重可下载或已经独立验证。", "evaluation_conditions_zh": "对任何报告结果，记录发布版本、天文任务、数据划分和指标。", "editorial_reviewed": { "zh": false, "en": false }, "fields": [ "astronomy", "physics" ], "task_tags": [ "astronomical representation learning" ], "task_tags_zh": [ "天文表征学习" ], "evidence": [ { "url": "https://polymathic-ai.org/blog/aion-1/", "kind": "official_announcement", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/zh/resources/model-aion-1/" }, "en": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/en/resources/model-aion-1/" } }, "event_associations": [ { "event_id": "12af2bb9bff3eee97f3a", "relation": "evaluation", "source_url": "https://arxiv.org/abs/2608.23626", "validated_at": "2026-09-20", "legacy": false } ], "event_ids_by_locale": { "zh": [ "12af2bb9bff3eee97f3a" ], "en": [ "12af2bb9bff3eee97f3a" ] }, "event_ids": [ "12af2bb9bff3eee97f3a" ] }, { "id": "model-bioclip-2", "provider": "Imageomics", "resource_type": "model", "title": "BioCLIP 2", "url": "https://huggingface.co/imageomics/bioclip-2", "version": "software 1.0.0 (model card citation)", "license": "MIT", "access": { "status": "unknown", "detail": "The readable model card identifies the model and its MIT licence; runtime and download access were not tested in this review.", "detail_zh": "可读模型卡确认模型身份和 MIT 许可；本次审核未测试运行时或下载访问。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": "2026-09-20", "creators": [], "task": "Produce biodiversity-oriented image representations and support zero-shot species-name classification or few-shot classification with support images.", "inputs": "Organism images and, for the stated classification modes, species-name text or support images; load through the documented OpenCLIP hf-hub:imageomics/bioclip-2 path.", "outputs": "Visual embeddings and the model-card-described zero-shot or few-shot classification outputs.", "geography": "", "dependencies": "The model card documents OpenCLIP loading through hf-hub:imageomics/bioclip-2; runtime and download access were not tested.", "limitations": "Long-tailed training taxa can bias performance toward well-represented species. BioCLIP 2 is distinct from the newer BioCLIP 2.5 card; this record does not claim it is latest.", "evaluation_conditions": "Record the exact model-card revision, classification mode, taxon distribution, data split and metric; do not compare results without these conditions.", "task_zh": "生成面向生物多样性的图像表征，并支持零样本物种名称分类或以支持图像进行少样本分类。", "inputs_zh": "生物图像；在模型卡所述分类方式中，还需要物种名称文本或支持图像；按 OpenCLIP 的 hf-hub:imageomics/bioclip-2 路径加载。", "outputs_zh": "视觉嵌入，以及模型卡所述的零样本或少样本分类输出。", "geography_zh": "", "dependencies_zh": "模型卡记录通过 OpenCLIP 的 hf-hub:imageomics/bioclip-2 路径加载；本次未测试运行时或下载访问。", "limitations_zh": "长尾分类单元训练可能使性能偏向样本充分的物种。BioCLIP 2 与更新的 BioCLIP 2.5 模型卡不同；本记录不声称其为最新版本。", "evaluation_conditions_zh": "记录准确模型卡修订版、分类方式、分类单元分布、数据划分和指标；缺少这些条件时不得比较结果。", "editorial_reviewed": { "zh": true, "en": true }, "fields": [ "biology", "ecology" ], "task_tags": [ "organism image representation" ], "task_tags_zh": [ "生物图像表征" ], "evidence": [ { "url": "https://huggingface.co/imageomics/bioclip-2", "kind": "official_model_card", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": true, "permalink": "https://juanli.me/ai4science/zh/resources/model-bioclip-2/" }, "en": { "display": true, "index": true, "permalink": "https://juanli.me/ai4science/en/resources/model-bioclip-2/" } }, "event_associations": [], "event_ids_by_locale": { "zh": [], "en": [] }, "event_ids": [] }, { "id": "model-mimic", "provider": "Polymathic AI", "resource_type": "model", "title": "MIMIC", "url": "https://polymathic-ai.org/blog/mimic/", "version": "", "license": "", "access": { "status": "pending_release", "detail": "Official page describes code, weights and LORE as preparing; no download availability is claimed.", "detail_zh": "官方页面称代码、权重和 LORE 正在准备中；不据此声称可下载。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": null, "creators": [], "task": "Develop multimodal scientific modelling described by the MIMIC project.", "inputs": "Project-specified multimodal scientific inputs when released.", "outputs": "Project-specified outputs when code, weights and LORE are released.", "geography": "", "dependencies": "", "limitations": "Official page states code, weights and LORE are preparing; no use or download should be implied.", "evaluation_conditions": "No benchmark condition is recorded until an official release specifies it.", "task_zh": "开展 MIMIC 项目所述的多模态科学建模。", "inputs_zh": "发布后由项目规定的多模态科学输入。", "outputs_zh": "代码、权重和 LORE 发布后由项目规定的输出。", "geography_zh": "", "dependencies_zh": "", "limitations_zh": "官方页面称代码、权重和 LORE 正在准备中；不应推断可使用或下载。", "evaluation_conditions_zh": "在官方发布明确评测条件前，不记录基准条件。", "editorial_reviewed": { "zh": false, "en": false }, "fields": [ "biology", "physics" ], "task_tags": [ "multimodal scientific modelling" ], "task_tags_zh": [ "多模态科学建模" ], "evidence": [ { "url": "https://polymathic-ai.org/blog/mimic/", "kind": "official_announcement", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/zh/resources/model-mimic/" }, "en": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/en/resources/model-mimic/" } }, "event_associations": [], "event_ids_by_locale": { "zh": [], "en": [] }, "event_ids": [] }, { "id": "software-perch", "provider": "Google Research", "resource_type": "software", "title": "Perch", "url": "https://github.com/google-research/perch", "version": "", "license": "", "access": { "status": "unknown", "detail": "Repository presence does not assert weights, datasets or production availability.", "detail_zh": "仓库存在不表示权重、数据集或生产可用性已经得到确认。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": null, "creators": [], "task": "Classify bioacoustic recordings with Perch research software.", "inputs": "Audio recordings in the repository's documented workflow.", "outputs": "Audio-model outputs described by the repository.", "geography": "", "dependencies": "", "limitations": "Repository presence alone does not establish dataset, weight or deployment availability.", "evaluation_conditions": "Record repository revision, audio data, label scope and evaluation metric.", "task_zh": "使用 Perch 研究软件对生物声学录音进行分类。", "inputs_zh": "仓库文档所述工作流中的音频录音。", "outputs_zh": "仓库说明的音频模型输出。", "geography_zh": "", "dependencies_zh": "", "limitations_zh": "仅有仓库不表示数据集、权重或部署可用性已经确定。", "evaluation_conditions_zh": "记录仓库修订版、音频数据、标签范围和评测指标。", "editorial_reviewed": { "zh": false, "en": false }, "fields": [ "ecology" ], "task_tags": [ "bioacoustic classification" ], "task_tags_zh": [ "生物声学分类" ], "evidence": [ { "url": "https://github.com/google-research/perch", "kind": "official_repository", "validated_at": "2026-09-20" } ], "relations": [], "locales": { "zh": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/zh/resources/software-perch/" }, "en": { "display": true, "index": false, "permalink": "https://juanli.me/ai4science/en/resources/software-perch/" } }, "event_associations": [], "event_ids_by_locale": { "zh": [], "en": [] }, "event_ids": [] }, { "id": "software-speciesnet", "provider": "Google Research", "resource_type": "software", "title": "SpeciesNet", "url": "https://research.google/blog/where-wild-things-roam-identifying-wildlife-with-speciesnet/", "version": "", "license": "", "access": { "status": "unknown", "detail": "Official post says the camera-trap identification tool is open-source; weights and operating constraints must be checked at its release surface.", "detail_zh": "官方文章称相机陷阱识别工具开源；权重和运行限制仍需在发布页面核对。" }, "maintenance_status": "unknown", "first_published": null, "version_published": null, "data_reference_period": null, "data_reference_period_zh": null, "last_checked": null, "creators": [], "task": "Identify species in camera-trap images for research and conservation workflows.", "inputs": "Camera-trap images.", "outputs": "Automated species identifications.", "geography": "", "dependencies": "", "limitations": "The announcement does not itself establish which weights, deployments or operating conditions are available.", "evaluation_conditions": "Evaluate against a named camera-trap dataset, species scope and error metric.", "task_zh": "在研究和保护工作流中识别相机陷阱图像里的物种。", "inputs_zh": "相机陷阱图像。", "outputs_zh": "自动化物种识别结果。", "geography_zh": "", "dependencies_zh": "", "limitations_zh": "公告本身不能确定哪些权重、部署方式或运行条件可用。", "evaluation_conditions_zh": "针对具名相机陷阱数据集、物种范围和误差指标进行评测。", "editorial_reviewed": { "zh": false, "en": false }, "fields": [ "ecology" ], "task_tags": [ "camera-trap species identification" ], "task_tags_zh": [ "相机陷阱物种识别" ], "evidence": [ { "url": "https://research.google/blog/where-wild-things-roam-identifying-wildlife-with-speciesnet/", "kind": "official_announcement", "validated_at": 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