{ "meta": { "generated_at": "2026-05-20T16:30:00+0800", "proxy": "direct + http://127.0.0.1:6984 fallback", "max_results_per_topic": 20, "max_days": 365, "sort": "submittedDate", "topic_count": 10, "total_raw": 0, "total_after_date_filter": 0, "total_unique": 0, "fetch_status": "FAILED_RATE_LIMIT", "fetch_error": "All requests blocked by arXiv API with HTTP 429 'Rate exceeded'. Host IP and proxy IP both flagged by arXiv's rate limiter (window > 2 hours). Tried direct connection, http://127.0.0.1:6984 proxy, IPv4, IPv6 — all returned 429 immediately or after exponential backoff (30/60/90/120/150/180s). Two topics ran 6 retries each (~15 min) and still failed.", "fetch_attempts": [ {"time": "2026-05-20T13:18 CST", "topic": "roomplan_arkit", "result": "0 papers; 4x 429 after 30/60/90/120s backoff"}, {"time": "2026-05-20T16:32 CST (background)", "topic": "roomplan_arkit", "result": "0 papers; 4x 429 + 2x SSL timeout"}, {"time": "2026-05-20T16:32 CST (background)", "topic": "gaussian_splatting_indoor", "result": "0 papers; 6x 429 (30/60/90/120/150/180s)"}, {"time": "2026-05-20T16:50 CST (probe)", "topic": "all:RoomPlan", "result": "HTTP 429 from both direct & proxy"} ], "recommended_retry": "Wait >= 2 hours; ideally execute between 04:00-09:00 Beijing Time (arXiv off-peak); or switch to residential proxy. See research/crowdroom_related_papers_2026.md Appendix B." }, "topics_meta": { "roomplan_arkit": {"zh": "1. iPhone RoomPlan / ARKit 室内扫描", "query": "all:(\"RoomPlan\" OR \"iPhone LiDAR\" OR \"ARKit\") AND all:(\"indoor\" OR \"reconstruction\" OR \"scan\")"}, "gaussian_splatting_indoor": {"zh": "2. 3D Gaussian Splatting 室内重建", "query": "all:(\"3D Gaussian Splatting\" OR \"3DGS\" OR \"Gaussian Splatting\") AND all:(\"indoor\" OR \"room\" OR \"scene\")"}, "nerf_indoor": {"zh": "3. NeRF 室内场景重建", "query": "all:(\"neural radiance field\" OR \"NeRF\") AND all:(\"indoor\" OR \"room scale\" OR \"scene reconstruction\")"}, "text_to_3d_furniture": {"zh": "4. text-to-3D 家具 / 资产生成", "query": "all:(\"text-to-3D\" OR \"text to 3D\") AND (all:\"furniture\" OR all:\"asset\" OR all:\"object\")"}, "indoor_layout_generation": {"zh": "5. 室内布局生成 / 房间布置合成", "query": "all:(\"indoor layout\" OR \"room layout\" OR \"scene layout\") AND (all:\"generation\" OR all:\"synthesis\" OR all:\"diffusion\")"}, "obb_pose_estimation": {"zh": "6. 3D 物体姿态估计 / OBB 朝向", "query": "all:(\"oriented bounding box\" OR \"9DoF pose\" OR \"object pose estimation\") AND (all:\"indoor\" OR all:\"furniture\" OR all:\"scene\")"}, "crowdsourced_3d": {"zh": "7. 众包 3D 数据采集 / 数据集", "query": "all:(\"crowdsourced\" OR \"crowdsourcing\" OR \"user-contributed\") AND (all:\"3D\" OR all:\"scanning\" OR all:\"reconstruction\")"}, "digital_twin_indoor": {"zh": "8. 数字孪生 / 室内 GIS / Scan-to-BIM", "query": "all:(\"digital twin\" OR \"scan-to-BIM\" OR \"Scan2BIM\" OR \"indoor BIM\") AND (all:\"building\" OR all:\"indoor\" OR all:\"reconstruction\")"}, "image_to_3d": {"zh": "9. image-to-3D / 单图重建", "query": "all:(\"image-to-3D\" OR \"single image 3D\" OR \"single-view reconstruction\") AND (all:\"object\" OR all:\"mesh\" OR all:\"furniture\")"}, "usd_gltf_assets": {"zh": "10. USD / glTF / 3D 资产标准化", "query": "all:(\"glTF\" OR \"USD\" OR \"Universal Scene Description\" OR \"OpenUSD\") AND (all:\"3D\" OR all:\"asset\" OR all:\"scene\")"} }, "arxiv": { "roomplan_arkit": [], "gaussian_splatting_indoor": [], "nerf_indoor": [], "text_to_3d_furniture": [], "indoor_layout_generation": [], "obb_pose_estimation": [], "crowdsourced_3d": [], "digital_twin_indoor": [], "image_to_3d": [], "usd_gltf_assets": [] }, "stats": { "roomplan_arkit": {"raw": 0, "after_date_filter": 0, "status": "429 rate-limit"}, "gaussian_splatting_indoor": {"raw": 0, "after_date_filter": 0, "status": "429 rate-limit"}, "nerf_indoor": {"raw": 0, "after_date_filter": 0, "status": "not-attempted (killed at topic 3)"}, "text_to_3d_furniture": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"}, "indoor_layout_generation": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"}, "obb_pose_estimation": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"}, "crowdsourced_3d": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"}, "digital_twin_indoor": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"}, "image_to_3d": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"}, "usd_gltf_assets": {"raw": 0, "after_date_filter": 0, "status": "not-attempted"} }, "unique_papers": [] }