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Paper Citation Record · LEDGER

GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks

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.

pith.paper-citation-record.v1
2512.24592 v3

Coverage vector

measured 41 of 41 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T13:23:22.674421Z

measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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41 of 41 outbound references displayed

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Outbound references

Observation 887b968d-451b-4ff2-8174-803f6608a5c5 · outbound

This paper cites Turning a blind eye: Explicit removal of biases and variation from deep neural network embeddings.

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

This paper cites Qwen2.5-VL Technical Report.

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

This paper cites The fishyscapes benchmark: Measuring blind spots in semantic segmentation.IJCV, 129 (12):3119–3135, 2021.

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

This paper cites End- to-end object detection with transformers.

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

This paper cites Hibug: On human- interpretable model debug.

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

This paper cites Hibug2: Effi- cient and interpretable error slice discovery for comprehen- sive model debugging.

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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source=pdf_text observed=2026-08-03T13:23:19.809052Z digest=sha256:05795b5ccf83ca71f0fccf58e132ed0159fc6e25b10a4ef64ac32d1a58b6c434

Observation 063f7a65-032c-4204-bc15-709002dcd2fe · outbound

This paper cites Wright, and Kevin Leyton-Brown.

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

This paper cites Face detection dataset.

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

This paper cites Domino: Discovering systematic errors with cross-modal embeddings.ICLR, 2022.

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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source=pdf_text observed=2026-08-03T13:23:20.195090Z digest=sha256:7c374e57c108617198d616f9889acc9bd70867156446c3de01bd4683b8164878

Observation b1f266e2-a7c2-4eab-9b90-1183b1a171f0 · outbound

This paper cites Detecting system- atic weaknesses in vision models along predefined human- understandable dimensions.Transactions on Machine Learning Research (TMLR), 2025.

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

This paper cites Are we ready for autonomous driving? the KITTI vision benchmark suite.

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

This paper cites Poynton, Shyam Visweswaran, and Kayhan Batmanghelich.

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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source=pdf_text observed=2026-08-03T13:23:20.394497Z digest=sha256:b69ca3f6736aa1f916e0bc57aec7180e323b18b94ceb51f928fa6c0b18d8518e

Observation f57aff80-8a6c-4b60-af86-09df03cff198 · outbound

This paper cites Classifier-to-bias: Toward unsupervised au- tomatic bias detection for visual classifiers.

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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source=pdf_text observed=2026-08-03T13:23:20.463883Z digest=sha256:a5391637a10f28b91fa6a1e9f4765ae72eb31e0fa2bcaf454ceb9111ff8a5fe4

Observation c64cb6cc-ed49-4393-baee-f4ffe2731847 · outbound

This paper cites Mask R-CNN.

GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Mask R-CNN

Reference 14

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source=pdf_text observed=2026-08-03T13:23:20.526817Z digest=sha256:b62fc1bbece702de77e142f363040c36b2274d72a2c315da1d6d8d3dd77e677c

Observation 3d57f442-6f6b-47ca-9490-ccc05b657bf4 · outbound

This paper cites Towards non-iid image classification: A dataset and baselines.

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

This paper cites Distilling Model Failures as Directions in Latent Space.

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

This paper cites Discovering and mitigat- ing visual biases through keyword explanation (bias-to-text).

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

This paper cites Last layer re-training is sufficient for robustness to spu- rious correlations.

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

This paper cites Medsegbench: A compre- hensive benchmark for medical image segmentation in di- verse data modalities.Scientific Data, 11(1):1283, 2024.

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

This paper cites Ryu, and Kangwook Lee.

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

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

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

This paper cites Focal loss for dense object detection.IEEE TPAMI, 42(2):318–327, 2020.

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

This paper cites Just train twice: Improving group robustness without training group information.

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

This paper cites Deep learning face attributes in the wild.

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

This paper cites Llm as dataset ana- lyst: Subpopulation structure discovery with large language model.

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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source=pdf_text observed=2026-08-03T13:23:21.335525Z digest=sha256:3f79a41c3c5ef86656281c2d814a14d884ae3480db2b9d5f3d507d3ec6482b4f

Observation 686425b9-7196-42ca-a232-bcf40a854f36 · outbound

This paper cites Coco-o: A benchmark for object detectors under natural dis- tribution shifts.

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

This paper cites Vig-bias: Visually grounded bias discovery and mitigation.

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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source=pdf_text observed=2026-08-03T13:23:21.481525Z digest=sha256:e60485d3a382e45bab89a2f68b903c7cbd2d6c77b8ba141a388a19df876a637a

Observation cc16424e-dc4f-4e03-b2e8-7090e7e9ef75 · outbound

This paper cites Hidden stratification causes clinically meaningful failures in machine learning for medical imag- ing.

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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source=pdf_text observed=2026-08-03T13:23:21.552521Z digest=sha256:0270ab547825214626a14aaac46feed1c0a4794cda7d4dbcc2b3a20d580e0e4d

Observation 317634be-1106-45c5-a753-d86ea00de349 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with re- gion proposal networks.IEEE TPAMI, 39(6):1137–1149,.

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

This paper cites Hashimoto, and Percy Liang.

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

This paper cites Sensitiveloss: Improving accuracy and fair- ness of face representations with discrimination-aware deep learning.

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

This paper cites an unresolved cited work.

GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-03T13:23:21.980615Z digest=sha256:0896a99f8abe28b8b92f80251b33c30bb231d2804b337c6b026b5e65f2b8e428

Observation cc14b1eb-6043-4493-a314-c5ce307fa2dd · outbound

This paper cites YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

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

This paper cites Error discovery by cluster- ing influence embeddings.

GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Error discovery by cluster- ing influence embeddings

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source=pdf_text observed=2026-08-03T13:23:22.199140Z digest=sha256:8af3184b582ddc43598a8688279f8be3f62c1f76b42340235d04b9a65b5f7327

Observation 11368e5e-5007-4829-8afa-a51931f48e4c · outbound

This paper cites Towards fairness in visual recognition: Effective strategies for bias mitigation.

GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks Towards fairness in visual recognition: Effective strategies for bias mitigation

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Observation 013cb7ba-7b9f-48bd-9296-f1be316ba07f · outbound

This paper cites Vislix: An XAI framework for val- idating vision models with slice discovery and analysis.

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

This paper cites Yenamandra et al.

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

This paper cites Nico++: Towards better benchmarking for domain generalization.

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

This paper cites cluster” or “search.

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

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

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

This paper cites 22, 2025.

GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks 22, 2025

Reference 2025

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Pith citing papers

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