Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:23:22.674421Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2512.24592.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:23:22.674421Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 887b968d-451b-4ff2-8174-803f6608a5c5 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings
Reference 1
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Observation 4c370020-42f5-436d-a036-65d4ed937100 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Qwen2.5-VL Technical Report
Reference 2
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Observation b3145710-4816-4901-81de-17a81e83fbcd · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks The fishyscapes benchmark: Measuring blind spots in semantic segmentation.IJCV, 129 (12):3119–3135, 2021
Reference 3
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Observation ef3e257f-b06a-4047-9fb2-0a71aeb280c3 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks End- to-end object detection with transformers
Reference 4
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Observation d97dc196-a4e1-4dfb-abf5-bc9a43c27ba9 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Hibug: On human- interpretable model debug
Reference 5
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Observation a9eed788-2c1f-4667-a156-5461ead3c7e0 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Hibug2: Effi- cient and interpretable error slice discovery for comprehen- sive model debugging
Reference 6
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Observation 063f7a65-032c-4204-bc15-709002dcd2fe · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Wright, and Kevin Leyton-Brown
Reference 7
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Observation 242aba3e-6afa-4d4f-a363-881ee2a0a403 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Face detection dataset
Reference 8
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Observation 4d2ddc26-cfce-459c-8508-8dcc1385abb9 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Domino: Discovering systematic errors with cross-modal embeddings.ICLR, 2022
Reference 9
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Observation b1f266e2-a7c2-4eab-9b90-1183b1a171f0 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Detecting system- atic weaknesses in vision models along predefined human- understandable dimensions.Transactions on Machine Learning Research (TMLR), 2025
Reference 10
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Observation 851f4bb7-8b32-4bc1-8064-5b71077069fe · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Are we ready for autonomous driving? the KITTI vision benchmark suite
Reference 11
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Observation 769a89eb-22a7-4a2c-9fde-b2a94711269a · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Poynton, Shyam Visweswaran, and Kayhan Batmanghelich
Reference 12
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Observation f57aff80-8a6c-4b60-af86-09df03cff198 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Classifier-to-bias: Toward unsupervised au- tomatic bias detection for visual classifiers
Reference 13
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Observation c64cb6cc-ed49-4393-baee-f4ffe2731847 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Mask R-CNN
Reference 14
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Observation 3d57f442-6f6b-47ca-9490-ccc05b657bf4 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Towards non-iid image classification: A dataset and baselines
Reference 15
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Observation c79e3dc9-6c33-4e06-9042-813b58e745e7 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Distilling Model Failures as Directions in Latent Space
Reference 16
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Observation 56fd8e30-1bb7-4cd4-b75d-9ea1cd8856b7 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Discovering and mitigat- ing visual biases through keyword explanation (bias-to-text)
Reference 17
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Observation 53c0ad8e-78bc-43ff-b924-f8f1ae57c160 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Last layer re-training is sufficient for robustness to spu- rious correlations
Reference 18
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Observation 8408e3ce-bcc5-4e66-895c-9cc5df60942a · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Medsegbench: A compre- hensive benchmark for medical image segmentation in di- verse data modalities.Scientific Data, 11(1):1283, 2024
Reference 19
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Observation fb48fcac-e332-4c57-8e09-bf9b43785646 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Ryu, and Kangwook Lee
Reference 20
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Observation 371b9241-933f-4cc8-b2fa-7339257cecdf · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Lawrence Zitnick, and Piotr Doll ´ar
Reference 21
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Observation 8740932b-4df6-4a1f-a7f9-aa187928bcd4 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Focal loss for dense object detection.IEEE TPAMI, 42(2):318–327, 2020
Reference 22
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Observation 82166c68-c21c-40a2-b60a-822a3eabb3b8 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Just train twice: Improving group robustness without training group information
Reference 23
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Observation 43e272cd-a1ce-47f4-89f9-2e645419e9f9 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Deep learning face attributes in the wild
Reference 24
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Observation 0090f170-9787-4c7d-88c6-7655a0d2540a · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Llm as dataset ana- lyst: Subpopulation structure discovery with large language model
Reference 25
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Observation 686425b9-7196-42ca-a232-bcf40a854f36 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Coco-o: A benchmark for object detectors under natural dis- tribution shifts
Reference 26
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Observation f8fe3526-9e6f-4ed0-bd83-cf469ce47e2e · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Vig-bias: Visually grounded bias discovery and mitigation
Reference 27
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Observation cc16424e-dc4f-4e03-b2e8-7090e7e9ef75 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Hidden stratification causes clinically meaningful failures in machine learning for medical imag- ing
Reference 28
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Observation 317634be-1106-45c5-a753-d86ea00de349 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Faster R-CNN: Towards real-time object detection with re- gion proposal networks.IEEE TPAMI, 39(6):1137–1149,
Reference 29
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Observation 5c22b247-f421-4b14-9ab3-2cd1e094bec7 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Hashimoto, and Percy Liang
Reference 30
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Observation 86d10ac6-0381-4bfd-afda-32d7246ba077 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Sensitiveloss: Improving accuracy and fair- ness of face representations with discrimination-aware deep learning
Reference 31
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Observation 675561e5-89b0-4143-bcc3-f75470f0315b · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Unresolved cited work
Reference 32
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Observation cc14b1eb-6043-4493-a314-c5ce307fa2dd · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Reference 33
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Observation 966eda66-facd-4c0a-97ea-e521cbeec172 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Error discovery by cluster- ing influence embeddings
Reference 34
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Observation 11368e5e-5007-4829-8afa-a51931f48e4c · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Towards fairness in visual recognition: Effective strategies for bias mitigation
Reference 35
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Observation 013cb7ba-7b9f-48bd-9296-f1be316ba07f · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Vislix: An XAI framework for val- idating vision models with slice discovery and analysis
Reference 36
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Observation a470b077-4ed5-4260-bcd1-60bdc0022a26 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Yenamandra et al
Reference 37
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Observation 5eceb7c7-1926-4d72-aa54-9162f9264b20 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Nico++: Towards better benchmarking for domain generalization
Reference 38
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Observation 18280a30-6f3f-47e5-a71d-aa4d908be626 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks cluster” or “search
Reference 39
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Observation 0e251396-bd69-4dae-8dee-d42692cd7d65 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Reference 2017
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Observation ee03d32c-e00e-4422-9c11-ec147e843087 · outbound
GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks 22, 2025
Reference 2025
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No inbound Pith citation observations are available.