In Search of Lost Domain Generalization | Paper Citation Record

Observation 60be7c30-416f-4411-8beb-1b81e3c3ef03 · inbound

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow cites this paper.

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow In Search of Lost Domain Generalization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:17:51.570919Z

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Observation b22bbc84-22a4-4270-8986-119cd24c772d · inbound

Learning Gradient-based Mixup with Extrapolation toward Flatter Minima for Domain Generalization cites this paper.

Learning Gradient-based Mixup with Extrapolation toward Flatter Minima for Domain Generalization In Search of Lost Domain Generalization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T11:19:23.210751Z

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Observation 32cbd78c-2dce-4517-ac82-a5c508294d1a · inbound

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges cites this paper.

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges In Search of Lost Domain Generalization

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T20:09:20.237228Z

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Observation 2f071eb5-cc3b-4948-8acc-6b11ea2ab159 · inbound

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations cites this paper.

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations In Search of Lost Domain Generalization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T19:30:14.581116Z

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Observation 28c78331-e405-4850-820e-e0bca7808434 · inbound

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation cites this paper.

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation In Search of Lost Domain Generalization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T13:54:05.666264Z

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Observation 3336e1b1-5660-418e-b71e-d6b72f660f82 · inbound

Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders cites this paper.

Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders In Search of Lost Domain Generalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:45.080470Z

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Observation 5aa4b4dc-43af-4f19-bd48-b48659d5e5ea · inbound

$\texttt{BATCLIP}$: Bimodal Online Test-Time Adaptation for CLIP cites this paper.

$\texttt{BATCLIP}$: Bimodal Online Test-Time Adaptation for CLIP In Search of Lost Domain Generalization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T23:06:27.392260Z

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Observation 665cc8ae-9f1a-4eb1-8fe1-7de644ff3e09 · inbound

GAQAT: gradient-adaptive quantization-aware training for domain generalization cites this paper.

GAQAT: gradient-adaptive quantization-aware training for domain generalization In Search of Lost Domain Generalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T20:41:14.605852Z

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Observation da433a02-e052-4a64-ac59-93b5326a1f55 · inbound

Learning Latent Spaces for Domain Generalization in Time Series Forecasting cites this paper.

Learning Latent Spaces for Domain Generalization in Time Series Forecasting In Search of Lost Domain Generalization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:18.702550Z

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Observation 9d680405-af82-4265-aabf-7b9e79e7f7e6 · inbound

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes cites this paper.

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes In Search of Lost Domain Generalization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:06:16.777351Z

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Observation f8c9aea5-3f84-4ef3-91b8-c5a8340a8793 · inbound

An Analysis of Model Robustness across Concurrent Distribution Shifts cites this paper.

An Analysis of Model Robustness across Concurrent Distribution Shifts In Search of Lost Domain Generalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:09.492503Z

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Observation 51cc5a0d-d351-47a5-b79e-4cc47405b204 · inbound

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation cites this paper.

Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation In Search of Lost Domain Generalization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:38.278743Z

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Observation e1140280-af84-411e-a6d3-9c57aa7424f2 · inbound

Towards Understanding Extrapolation: a Causal Lens cites this paper.

Towards Understanding Extrapolation: a Causal Lens In Search of Lost Domain Generalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:16:03.133546Z

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Observation 18629b74-e953-4e8a-8350-9c68bacf4a0d · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data In Search of Lost Domain Generalization

Reference 202

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:35:02.414979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b87d8fa-b0fa-4d9c-a51d-65df76389864 · inbound

Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems cites this paper.

Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems In Search of Lost Domain Generalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.090455Z

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Observation e2002943-8c81-4551-9934-a0391a441905 · inbound

AI for the Open-World: the Learning Principles cites this paper.

AI for the Open-World: the Learning Principles In Search of Lost Domain Generalization

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T11:47:10.224852Z

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Observation cdafa28b-b732-4c01-92ed-ecf024ed453d · inbound

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' In Search of Lost Domain Generalization

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:13.457688Z

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Observation 2a73c5a0-cc0c-4f57-be1d-0a89fc38d80e · inbound

Robust Invariant Representation Learning by Distribution Extrapolation cites this paper.

Robust Invariant Representation Learning by Distribution Extrapolation In Search of Lost Domain Generalization

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:43.910367Z

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Observation bd9987cd-6c09-4ab1-93d0-268902378cf1 · inbound

Data Heterogeneity Modeling for Trustworthy Machine Learning cites this paper.

Data Heterogeneity Modeling for Trustworthy Machine Learning In Search of Lost Domain Generalization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:36.140893Z

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Observation d587d8f7-49e8-4973-b2d5-fb700606c65b · inbound

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization cites this paper.

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization In Search of Lost Domain Generalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:31.368314Z

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Observation 5776072a-8ee2-46ad-ac2f-ecda0291fff8 · inbound

Harmonizing and Merging Source Models for CLIP-based Domain Generalization cites this paper.

Harmonizing and Merging Source Models for CLIP-based Domain Generalization In Search of Lost Domain Generalization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T04:56:15.852449Z

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Observation be67431d-1b36-4761-9c29-5c84c0b14b93 · inbound

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation cites this paper.

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation In Search of Lost Domain Generalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:52:26.971904Z

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Observation ebab30f4-8d59-49d2-8bd2-dea5014ea496 · inbound

Generalizing vision-language models to novel domains: A comprehensive survey cites this paper.

Generalizing vision-language models to novel domains: A comprehensive survey In Search of Lost Domain Generalization

Reference 251

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:02.172261Z

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Observation ed256746-0136-4cb3-8490-1a9979cad838 · inbound

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift cites this paper.

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift In Search of Lost Domain Generalization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:39.935794Z

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Observation 769078c1-4f0a-4c73-b4e9-4f06648e3fa9 · inbound

Subgraph Generation for Generalizing on Out-of-Distribution Links cites this paper.

Subgraph Generation for Generalizing on Out-of-Distribution Links In Search of Lost Domain Generalization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T17:10:49.315605Z

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Observation fe5f02de-d52f-4253-8389-e98a5895116b · inbound

Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain Generalization cites this paper.

Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain Generalization In Search of Lost Domain Generalization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:43.103846Z

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Observation 1e344828-78af-42f0-8ebb-ed65f6f6166a · inbound

A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in Planar Geometry cites this paper.

A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in Planar Geometry In Search of Lost Domain Generalization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:09.869386Z

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Observation c9d59ce9-d77e-4d23-a497-67d3786e694f · inbound

Handling Out-of-Distribution Data: A Survey cites this paper.

Handling Out-of-Distribution Data: A Survey In Search of Lost Domain Generalization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:48.574734Z

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Observation 82ac2bef-6c2f-4118-9045-6e520825df63 · inbound

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation cites this paper.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation In Search of Lost Domain Generalization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T11:07:52.643298Z

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Observation d42805ba-9fa5-413d-a9e9-48b7643b3d0b · inbound

Saving for the future: Enhancing generalization via partial logic regularization cites this paper.

Saving for the future: Enhancing generalization via partial logic regularization In Search of Lost Domain Generalization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T18:04:16.318206Z

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Observation f69eeb3e-457a-4382-a924-6ba14be01262 · inbound

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification cites this paper.

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification In Search of Lost Domain Generalization

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:56.989464Z

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Observation 948a7c2b-fdb8-4eea-9bcc-afbed5de952d · inbound

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains cites this paper.

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains In Search of Lost Domain Generalization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:34.078903Z

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Observation 7bb56576-935f-4f68-b7f9-c1e8724e5712 · inbound

Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective cites this paper.

Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective In Search of Lost Domain Generalization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:12:23.848909Z

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Observation 3f2f5c72-11e4-4d36-8ec1-9d320f61f409 · inbound

Domain-Shift-Aware Conformal Prediction for Large Language Models cites this paper.

Domain-Shift-Aware Conformal Prediction for Large Language Models In Search of Lost Domain Generalization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T11:23:17.912160Z

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Observation 60d3537a-4fa9-4213-bb0f-8560f9b92e7c · inbound

$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization cites this paper.

$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization In Search of Lost Domain Generalization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T10:14:07.244303Z

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Observation 02e0a30f-5cdc-4de5-9d63-171ab57eb508 · inbound

Causal Transfer in Medical Image Analysis cites this paper.

Causal Transfer in Medical Image Analysis In Search of Lost Domain Generalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T18:52:41.486444Z

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Observation 6cb70299-f2b5-447b-a71a-5b9fd7ee7b56 · inbound

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method cites this paper.

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method In Search of Lost Domain Generalization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T17:14:57.398767Z

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Observation 8443e705-13f7-4c5e-9e90-59bc8f2a269b · inbound

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model cites this paper.

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model In Search of Lost Domain Generalization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:20:48.264752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8e5c46b-c09e-4706-8ecd-4154d00d784b · inbound

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection cites this paper.

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection In Search of Lost Domain Generalization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:17.876749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3aae0e3-3c50-4c82-a4cd-633e88bf6412 · inbound

Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures cites this paper.

Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures In Search of Lost Domain Generalization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:16.752940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 484625f3-5101-4e11-a108-3c6e6553eb4f · inbound

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study cites this paper.

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study In Search of Lost Domain Generalization

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:10.486840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8653df0-68fa-4f81-bcc3-3569e4302cc2 · inbound

From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting cites this paper.

From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting In Search of Lost Domain Generalization

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:25:53.584043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 91c257d6-b058-4a66-90e9-94c5395cee0e · inbound

From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting cites this paper.

From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting In Search of Lost Domain Generalization

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:23.425066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5dd7bc3b-80af-4282-8cd7-ceceb69d7b0a · inbound

Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling cites this paper.

Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling In Search of Lost Domain Generalization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:42:30.654663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed5367b4-4edf-44d6-b4b4-e060e0c56abd · inbound

Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging cites this paper.

Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging In Search of Lost Domain Generalization

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:29:47.211608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 255ff2b8-bc86-4f10-9f5d-536963aabe0b · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics In Search of Lost Domain Generalization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:28:21.400930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1fef52c0-1e4c-45cb-a76f-0e52bc9fc547 · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics In Search of Lost Domain Generalization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.895435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5aa8acbb-b2c5-4436-8dd8-d050e100f935 · inbound

Implicit Neural Representations of Individual Behavior cites this paper.

Implicit Neural Representations of Individual Behavior In Search of Lost Domain Generalization

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:17:48.508605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 626685a1-76d2-4968-8429-3a9dce0a8cb6 · inbound

Is Spurious Correlation Removal Always Learnable? cites this paper.

Is Spurious Correlation Removal Always Learnable? In Search of Lost Domain Generalization

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:22.170289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70185cc3-38c1-4516-9a7e-be256c76b982 · inbound

Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios cites this paper.

Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios In Search of Lost Domain Generalization

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.335479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fce3b33-f2be-4273-ba19-195902da683b · inbound

Assessing Distribution Shift in Human Activity Recognition for Domain Generalization cites this paper.

Assessing Distribution Shift in Human Activity Recognition for Domain Generalization In Search of Lost Domain Generalization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:50:01.007292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5d8915f-7331-4d7f-9837-4e639f99cbed · inbound

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction cites this paper.

OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction In Search of Lost Domain Generalization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T04:11:50.269344Z

Source-reported events for the cited work

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Observation 0599181f-8899-42c7-8500-52d967b03c18 · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins In Search of Lost Domain Generalization

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:11.903341Z

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Observation 5238939d-51ec-4edb-8bf1-d8f162c4c447 · inbound

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs cites this paper.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs In Search of Lost Domain Generalization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.303413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655e3e69-5726-491f-b555-ea4d68035b6f · inbound

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks cites this paper.

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks In Search of Lost Domain Generalization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T14:14:33.470611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df74a62b-75e0-4c08-a58d-43c9db411508 · inbound

Hidden-Domain Routing for All-Type Audio Deepfake Detection cites this paper.

Hidden-Domain Routing for All-Type Audio Deepfake Detection In Search of Lost Domain Generalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T00:54:46.104792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8fb99bb-a71a-4624-aa15-e6d4eba8c665 · inbound

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction cites this paper.

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction In Search of Lost Domain Generalization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T20:00:45.952315Z

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PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization cites this paper.

PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization In Search of Lost Domain Generalization

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