[ { "id": "A1", "projects": "A", "title": "EDGRU: edge-guided dual graph reasoning U-Net with spatial graph attention for infrared small target detection", "authors": "Xinying Huang; Jianhua Song; Xinrong Fu; Yizhe Lu; Lei Yuan", "date": "2026-10-27, Scientific Reports early article", "identifier": "10.1038/s41598-026-76517-6", "url": "https://www.nature.com/articles/s41598-026-76517-6", "already_done": "Edge cues and dual graph feature reasoning already address clutter. This is not evidence for physical mutual exclusion between candidates.", "code": "Author repository accessible; commit b0159312ae8047e37c913cf2cf6116c7776eeffc (2026-10-28). Model/train/test files listed; not executed; no root license file observed.", "data": "SIRST and NUDT-SIRST reported", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A2", "projects": "A", "title": "Infrared small target detection based on multi-feature fusion combined with graph representation learning", "authors": "Jiakun Deng; Yizhuo Yin; Yanbo Zhang; Chang Long; Kexuan Li; Xingye Cui; Zhenming Peng", "date": "2026, 55(1):100–108; received 2025-03-19", "identifier": "10.12178/1001-0548.2025060", "url": "https://www.juestc.uestc.edu.cn/en/article/doi/10.12178/1001-0548.2025060", "already_done": "Morphological proposals, graph representations, fused handcrafted/deep features and classification already filter candidate false alarms.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Publisher page opened; abstract read" }, { "id": "A3", "projects": "A", "title": "CS-ViG-UNet: Infrared small and dim target detection based on cycle shift vision graph convolution network", "authors": "Jian Lin; Shaoyi Li; Xi Yang; Saisai Niu; Binbin Yan; Zhongjie Meng", "date": "2024, Expert Systems with Applications; exact online date unresolved", "identifier": "10.1016/j.eswa.2024.124385", "url": "https://www.sciencedirect.com/science/article/pii/S095741742401251X", "already_done": "Patch-level sparse graph attention and U-Net integration; graph use alone is not new.", "code": "https://github.com/Linaom1214/CSViG-UNet — indexed repository with train/eval files; not executed", "data": "SIRST Augment and IRSTD-1k links listed; bytes not acquired", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A4", "projects": "A", "title": "IRST-CGSeg: Infrared Small Target Detection Based on Clustering-Guided Graph Learning and Hierarchical Features", "authors": "Guimin Jia; Tao Chen; Yu Cheng; Pengyu Lu", "date": "2025-02-21, Electronics", "identifier": "10.3390/electronics14050858", "url": "https://www.mdpi.com/2079-9292/14/5/858", "already_done": "Clustering initializes subgraphs and guides graph/texture feature fusion.", "code": "No public code verified", "data": "Publisher says study data available on request", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A5", "projects": "AC", "title": "Graph Laplacian regularization for fast infrared small target detection", "authors": "Ting Liu; Yongxian Liu; Jungang Yang; Boyang Li; Yingqian Wang; Wei An", "date": "2025 volume 158; DOI assigned 2024; online day unresolved", "identifier": "10.1016/j.patcog.2024.111077", "url": "https://www.sciencedirect.com/science/article/pii/S0031320324008288", "already_done": "Frame-node graph regularization replaces expensive low-rank estimation; MCP sparsity separates targets. Explicit optimization already exists.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A6", "projects": "AC", "title": "Infrared small target detection based on hypergraph and asymmetric penalty function", "authors": "Yuan Luo; Xiaorun Li; Shuhan Chen", "date": "2025, Pattern Recognition", "identifier": "10.1016/j.patcog.2025.111634", "url": "https://www.sciencedirect.com/science/article/pii/S0031320325002948", "already_done": "Patch-tensor hypergraphs combine spatial and temporal weights; low-rank background and asymmetric target sparsity are jointly modeled.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A7", "projects": "A", "title": "Robust Infrared Small Target Detection via Jointly Sparse Constraint of l1/2-Metric and Dual-Graph Regularization", "authors": "Fei Zhou; Yiquan Wu; Yimian Dai; Kang Ni", "date": "2020, Remote Sensing 12(12):1963", "identifier": "10.3390/rs12121963", "url": "https://www.mdpi.com/2072-4292/12/12/1963", "already_done": "Spatial and feature manifold regularizers plus nonconvex sparsity suppress clutter. Graph-constrained optimization is established prior art.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A8", "projects": "A", "title": "Directional graph-structured energy propagation for infrared small target detection", "authors": "Sen Yang; Guanxun Cui", "date": "2026-06 volume, Infrared Physics & Technology", "identifier": "10.1016/j.infrared.2026.106613", "url": "https://www.sciencedirect.com/science/article/pii/S1350449526002483", "already_done": "Gradient-directed pixel DAG energy propagation drives U-Net attention. A graph or DAG by itself is not a contribution.", "code": "Not verified; no runnable release established", "data": "IRSTD-1k reported", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "A9", "projects": "AC", "title": "DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing", "authors": "Shengdong Han; Shangdong Yang; Yuxuan Li; Xin Zhang; Xiang Li; Jian Yang; Ming-Ming Cheng; Yimian Dai", "date": "ICCV 2025; preprint 2025-05-25", "identifier": "arXiv:2505.19148", "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Han_DISTA-Net_Dynamic_Closely-Spaced_Infrared_Small_Target_Unmixing_ICCV_2025_paper.html", "already_done": "Dynamic sparse unmixing explicitly resolves close targets, including subpixel positions; exposes the flaw in proximity exclusion.", "code": "https://github.com/GrokCV/GrokCSO — repository indexed", "data": "CSIST-100K and CSO-mAP released according to paper/repository; download not tested", "verification": "CVF proceedings metadata and arXiv abstract verified; author order follows proceedings (preprint differs)" }, { "id": "A10", "projects": "AC", "title": "Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection", "authors": "Shengjia Chen; Luping Ji; Weiwei Duan; Shuang Peng; Mao Ye", "date": "2025-04-11 proceedings release, AAAI", "identifier": "10.1609/aaai.v39i2.32217", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/32217", "already_done": "Motion representations refined by graph attention; motion-aware graph learning is already used.", "code": "Not verified; no runnable release established", "data": "ITSDT-15K and IRDST reported", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B1", "projects": "B", "title": "Infrared Small Target Detection with Scale and Location Sensitivity", "authors": "Qiankun Liu; Rui Liu; Bolun Zheng; Hongkui Wang; Ying Fu", "date": "CVPR 2024; preprint 2024-03-28", "identifier": "arXiv:2403.19366", "url": "https://arxiv.org/abs/2403.19366", "already_done": "SLS combines scale-weighted IoU and centroid-related localization; generic size-sensitive loss is not new.", "code": "https://github.com/ying-fu/MSHNet — opened; model/utils/main.py visible", "data": "IRSTD-1k and NUDT-SIRST; links in repository", "verification": "Primary metadata plus method equations read in arXiv HTML" }, { "id": "B2", "projects": "B", "title": "Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection", "authors": "Jiangnan Yang; Shuangli Liu; Jingjun Wu; Xinyu Su; Nan Hai; Xueli Huang", "date": "AAAI 2025, proceedings release 2025-04-11; preprint 2024-12-22", "identifier": "10.1609/aaai.v39i9.32996; arXiv:2412.16986", "url": "https://ojs.aaai.org/index.php/AAAI/article/view/32996", "already_done": "Scale-dependent weighting of localization/scale terms already exists.", "code": "https://github.com/JN-Yang/PConv-SDloss-Data — opened; MIT repository license", "data": "SIRST-UAVB and IRSTD-1k; release links, not downloaded", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B3", "projects": "B", "title": "Revisiting the Scale Loss Function and Gaussian-Shape Convolution for Infrared Small Target Detection", "authors": "Hao Li; Man Fung Zhuo", "date": "2026-04-11 preprint; peer review not verified", "identifier": "arXiv:2604.09991", "url": "https://arxiv.org/abs/2604.09991", "already_done": "Already critiques scale-loss monotonicity and proposes a signed-area-difference loss. Do not present that critique as new.", "code": "Abstract claims anonymous code/weights; URL/release not established", "data": "IRSTD-1k, NUDT-SIRST, SIRST-UAVB reported", "verification": "arXiv record opened" }, { "id": "B4", "projects": "B", "title": "Boosting Infrared Small Target Detection via Logit-Domain Contrast and Adaptive Shape Refinement", "authors": "Handong Zeng; Zhengeng Yang; Shuai Zhang; Shikai Chen; Hongshan Yu", "date": "2026-07-02 preprint; submitted to IEEE, acceptance not verified", "identifier": "arXiv:2607.01555", "url": "https://arxiv.org/abs/2607.01555", "already_done": "AC-SLSIoU combines logit-margin discrimination, adaptive boundary penalties and false-alarm focal weighting. A new weighted negative-pixel term is insufficient.", "code": "Not verified; no runnable release established", "data": "IRSTD benchmarks reported; release not established", "verification": "arXiv record and method sections opened" }, { "id": "B5", "projects": "B", "title": "CG-IRNet: Structure–Confidence Hybrid Learning for Low-False-Alarm Infrared Small Target Detection", "authors": "Ziwen Zhu; Mengmeng Liao", "date": "2026-06-01, Electronics", "identifier": "10.3390/electronics15112405", "url": "https://www.mdpi.com/2079-9292/15/11/2405", "already_done": "Confidence-aware SLS, instance structure supervision and background suppression already target low false alarms.", "code": "Not verified; no runnable release established", "data": "SIRST, NUDT-SIRST, IRSTD-1k reported", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B6", "projects": "B", "title": "Infrared Small Target Detection based on Adjustable Sensitivity Strategy and Multi-Scale Fusion", "authors": "Jinmiao Zhao; Zelin Shi; Chuang Yu; Yunpeng Liu", "date": "2024-07-29 preprint", "identifier": "arXiv:2407.20090", "url": "https://arxiv.org/abs/2407.20090", "already_done": "EEDM loss and adjustable-sensitivity postprocessing address imbalance and detection tradeoffs; threshold selection is not new.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B7", "projects": "B", "title": "Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images", "authors": "Huan Wang; Luping Zhou; Lei Wang", "date": "ICCV 2019", "identifier": "DOI not independently captured; stable CVF proceedings URL", "url": "https://openaccess.thecvf.com/content_ICCV_2019/html/Wang_Miss_Detection_vs._False_Alarm_Adversarial_Learning_for_Small_Object_ICCV_2019_paper.html", "already_done": "Separates missed detections and false alarms into adversarial learning tasks. Optimizing this tradeoff predates recent loss work.", "code": "Official lead https://github.com/wanghuanphd/MDvsFA_cGAN not opened; https://github.com/ZhexuanZhou/MDvsFA is a third-party PyTorch implementation, not treated as official", "data": "Original data release not downloaded", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B8", "projects": "B", "title": "ISNet: Shape Matters for Infrared Small Target Detection", "authors": "Mingjin Zhang; Rui Zhang; Yuxiang Yang; Haichen Bai; Jing Zhang; Jie Guo", "date": "CVPR 2022", "identifier": "10.1109/CVPR52688.2022.00095 (secondary DOI metadata; CVF paper verified)", "url": "https://openaccess.thecvf.com/content/CVPR2022/html/Zhang_ISNet_Shape_Matters_for_Infrared_Small_Target_Detection_CVPR_2022_paper.html", "already_done": "Edge supervision and Dice-based shape learning establish a localization/shape baseline.", "code": "https://github.com/RuiZhang97/ISNet — opened; code directed to master branch", "data": "Paper says 1,000; repository says 1,001 IRSTD-1k images. Resolve by downloaded manifest.", "verification": "CVF page/PDF excerpt and author repository checked" }, { "id": "B9", "projects": "B", "title": "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection", "authors": "Jinwang Wang; Chang Xu; Wen Yang; Lei Yu", "date": "2021-10-26 preprint", "identifier": "arXiv:2110.13389", "url": "https://arxiv.org/abs/2110.13389", "already_done": "Gaussian box distance mitigates tiny-box overlap sensitivity; not a mask loss or false-alarm certificate.", "code": "https://github.com/jwwangchn/NWD — paper-linked, not opened", "data": "AI-TOD; not an IRSTD dataset", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B10", "projects": "B", "title": "Rethinking Evaluation of Infrared Small Target Detection", "authors": "Youwei Pang; Xiaoqi Zhao; Lihe Zhang; Huchuan Lu; Georges El Fakhri; Xiaofeng Liu; Shijian Lu", "date": "NeurIPS 2025 Datasets and Benchmarks", "identifier": "arXiv:2509.16888; 10.52202/085713-3860", "url": "https://papers.nips.cc/paper_files/paper/2025/hash/a81051ae2c8b1e46bd51480917b8ab84-Abstract-Datasets_and_Benchmarks_Track.html", "already_done": "Hybrid pixel/object metrics, error analysis and cross-dataset evaluation already challenge legacy Pd/Fa evaluation.", "code": "https://github.com/lartpang/PyIRSTDMetrics — opened; MIT; code files visible", "data": "Toolkit available; not executed", "verification": "Proceedings/PDF excerpt/repository read; full name follows PDF" }, { "id": "B11", "projects": "B", "title": "Focal Loss for Dense Object Detection", "authors": "Tsung-Yi Lin; Priya Goyal; Ross Girshick; Kaiming He; Piotr Dollár", "date": "2017-08-07 preprint; ICCV 2017", "identifier": "arXiv:1708.02002", "url": "https://arxiv.org/abs/1708.02002", "already_done": "Hard-example reweighting handles imbalance; no budget certificate.", "code": "Code linked in arXiv; not executed", "data": "COCO, not IRSTD", "verification": "arXiv record opened" }, { "id": "B12", "projects": "B", "title": "V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation", "authors": "Fausto Milletari; Nassir Navab; Seyed-Ahmad Ahmadi", "date": "2016-06-15 preprint", "identifier": "arXiv:1606.04797", "url": "https://arxiv.org/abs/1606.04797", "already_done": "Dice objective addresses overlap/imbalance, not object false-alarm constraints.", "code": "Not verified; no runnable release established", "data": "Medical MRI, not IRSTD", "verification": "arXiv record opened" }, { "id": "B13", "projects": "B", "title": "Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control", "authors": "Anastasios N. Angelopoulos; Stephen Bates; Emmanuel J. Candès; Michael I. Jordan; Lihua Lei", "date": "2021-10-03 preprint; Annals of Applied Statistics 2025", "identifier": "arXiv:2110.01052", "url": "https://arxiv.org/abs/2110.01052", "already_done": "Finite-sample risk control through hypothesis testing already applies to detection/segmentation. Our certificate is an application, not a new concentration theorem.", "code": "Not verified; no runnable release established", "data": "General calibration examples; no IRSTD dataset claimed", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B14", "projects": "B", "title": "Conformal Risk Control", "authors": "Anastasios N. Angelopoulos; Stephen Bates; Adam Fisch; Lihua Lei; Tal Schuster", "date": "2022-08-04 preprint", "identifier": "arXiv:2208.02814", "url": "https://arxiv.org/abs/2208.02814", "already_done": "Monotone bounded losses support marginal expected-risk guarantees. Distinguish these from high-probability-over-calibration guarantees.", "code": "Not verified; no runnable release established", "data": "General prediction examples; no IRSTD dataset claimed", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "B15", "projects": "B", "title": "Diffuse to Detect: Bi-Level Sample Rebalancing with Pseudo-Label Diffusion for Point-Supervised Infrared Small-Target Detection", "authors": "Zhu Liu; Yuanhang Yao; Ping Qian; Zihang Chen; Risheng Liu", "date": "ICML 2026", "identifier": "DOI/arXiv not captured; PMLR 306:79394–79413", "url": "https://proceedings.mlr.press/v306/liu26fj.html", "already_done": "Adaptive sample weights, label diffusion and bi-level optimization already tackle sample imbalance.", "code": "https://github.com/yuanhang-yao/diffuse-to-detect — indexed author repository", "data": "SIRST-v1, NUDT-SIRST, IRSTD-1k, SIRST3 listed", "verification": "PMLR proceedings verified" }, { "id": "C1", "projects": "C", "title": "MIST: A Benchmark and Baseline for Multi-Frame Infrared Small Target Detection in Complex Motion", "authors": "Rui Gao; Meihong Zhang; Gongyang Li; Guanyi Li; Kai Zhao; Xianchao Zhang; Dan Zeng", "date": "TIP 2026; author acceptance announcement 2026-04-27", "identifier": "10.1109/TIP.2026.3689420 (PubMed metadata)", "url": "https://github.com/ShuCvlab/MIST", "already_done": "Complex-motion benchmark; shifted-neighborhood compensation and information-bottleneck decoding already address irregular weak motion.", "code": "Author repository opened; train/test/config files; dataset/weights released", "data": "MIST 78 train / 42 test sequences; 11 hard test subset; links not downloaded", "verification": "Author repository read; DOI secondary metadata, publisher full text not audited" }, { "id": "C2", "projects": "C", "title": "Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better", "authors": "Ruojing Li; Wei An; Yingqian Wang; Xinyi Ying; Yimian Dai; Longguang Wang; Miao Li; Yulan Guo; Li Liu", "date": "Preprint 2025-06-15; TPAMI 2026 volume", "identifier": "arXiv:2506.12766; 10.1109/TPAMI.2026.3683258", "url": "https://arxiv.org/abs/2506.12766", "already_done": "Long temporal profiles and one-dimensional anomaly modeling accumulate weak evidence without candidate graphs.", "code": "https://github.com/TinaLRJ/DeepPro — opened", "data": "NUDT-MIRSDT, HiNo and satellite dataset links; README 120 total vs 80 train +20 test leaves 20 unexplained", "verification": "arXiv, repository; journal DOI from PubMed, author order follows journal/repository" }, { "id": "C3", "projects": "C", "title": "HyperTea: Hypergraph-based temporal enhancement and alignment network for moving infrared small target detection", "authors": "Zhaoyuan Qi; Weihua Gao; Wenlong Niu; Jie Tang; Yun Li; Xiaodong Peng", "date": "Preprint 2025-08-14; KBS 2026", "identifier": "arXiv:2508.10678; 10.1016/j.knosys.2026.116099", "url": "https://arxiv.org/abs/2508.10678", "already_done": "Global/local temporal hypergraph enhancement and alignment directly overlap generic Project C.", "code": "https://github.com/Lurenjia-LRJ/HyperTea — indexed README says full code/weights still being organized; not a verified runnable release", "data": "DAUB and IRDST links; no dataset bytes acquired", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "C4", "projects": "C", "title": "MI-DETR: A Strong Baseline for Moving Infrared Small Target Detection with Bio-Inspired Motion Integration", "authors": "Nian Liu; Jin Gao; Shubo Lin; Yutong Kou; Sikui Zhang; Fudong Ge; Zhiqiang Pu; Liang Li; Gang Wang; Yizheng Wang; Weiming Hu", "date": "2026-03-05 preprint", "identifier": "arXiv:2603.05071", "url": "https://arxiv.org/abs/2603.05071", "already_done": "Explicit cellular-automaton motion maps and appearance interaction; explicit motion modeling is not new.", "code": "https://github.com/nliu-25/MI-DETR — paper-linked, not executed", "data": "IRDST-H, DAUB-R, ITSDT-15K reported", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "C5", "projects": "C", "title": "IRDINO: Adapting DINOv3 with Second-Order Motion Awareness for Moving Infrared Small Target Detection", "authors": "Qian Xu; Shuaipeng Fan; Fei Gao; Mingjin Zhang", "date": "CVPR Findings 2026, not main-track CVPR", "identifier": "DOI/arXiv not captured; stable CVF URL", "url": "https://openaccess.thecvf.com/content/CVPR2026F/html/Xu_IRDINO_Adapting_DINOv3_with_Second-Order_Motion_Awareness_for_Moving_Infrared_CVPRF_2026_paper.html", "already_done": "Second-order motion plus pretrained features is an additional temporal baseline.", "code": "Not verified; no runnable release established", "data": "DAUB, ITSDT-15K, IRDST reported", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "C6", "projects": "C", "title": "TLCFormer: synergizing temporal motion and local contrast for robust infrared video small object detection", "authors": "Zihan Wang; Lun Li; Fan Bai", "date": "2026-05-20, Scientific Reports", "identifier": "10.1038/s41598-026-53189-w", "url": "https://doi.org/10.1038/s41598-026-53189-w", "already_done": "Temporal motion and contrast fusion already target very small weak video objects.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Primary indexed metadata/abstract; full text not audited" }, { "id": "C7", "projects": "C", "title": "Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection", "authors": "Yinghui Xing; Donghao Chu; Shizhou Zhang; Di Xu", "date": "ICML 2026; preprint 2026-06-26", "identifier": "arXiv:2606.27655", "url": "https://proceedings.mlr.press/v306/xing26b.html", "already_done": "Global/local motion discrepancy provides temporal prompts for SAM; temporal weak-evidence emergence is established.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "PMLR proceedings and arXiv metadata verified" }, { "id": "C8", "projects": "C", "title": "DP–MHT–TBD: A Dynamic Programming and Multiple Hypothesis Testing-Based Infrared Dim Point Target Detection Algorithm", "authors": "Jinming Du; Huanzhang Lu; Luping Zhang; Moufa Hu; Yingjie Deng; Xinglin Shen; Dongyang Li; Yu Zhang", "date": "2022-10-11, Remote Sensing", "identifier": "10.3390/rs14205072", "url": "https://www.mdpi.com/2072-4292/14/20/5072", "already_done": "Dynamic programming and multiple hypotheses accumulate trajectories before detection. A differentiable DP alone is incremental.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "Publisher indexed abstract; author list cross-check from DBLP, full text pending" }, { "id": "X1", "projects": "B", "title": "Neural-Network-Based False Alarm Controllable Detector for Weak Targets via a Differentiable NP Loss", "authors": "Qizhe Qu; Hao Chen; Weijian Liu; Binbin Li; Yong-Liang Wang", "date": "2025, IEEE TAES 61(5):12258–12270", "identifier": "10.1109/TAES.2025.3572501", "url": "https://doi.org/10.1109/TAES.2025.3572501", "already_done": "Potential major conceptual prior: differentiable Neyman–Pearson training. Do not claim first constrained detector.", "code": "Not verified; no runnable release established", "data": "Availability/protocol not independently established", "verification": "UNVERIFIED PRIMARY ACCESS: secondary bibliographic leads agree; DOI fetch failed. Do not rely on technical summary until full paper read" } ]