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Paper Citation Record · LEDGER

In Search of Lost Domain Generalization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2007.01434.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2007.01434 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:00:45.952315Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T17:50:01.005676Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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arxiv_id, observed 2026-05-10T13:17:51.570919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:17:51.511535Z digest=sha256:c3b8cdbe40f1a1812a55f6cd5af0a0cd6f4806552f3bf0875e37c6a7187794d6

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

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arxiv_id, observed 2026-05-24T11:19:23.210751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T11:16:16.666438Z digest=sha256:67961e9e33612e5f25c184b36871096c53129521c6766633e67421a70a519d98

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:d2459d4f7baf202e6d4205341703f4f52dee0a835ab1ce33eefa61c86d525b81

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:43.910367Z digest=sha256:793a47bcad5317d8e547592dae0756f24e86d48fc99e646ec39b99db41e8a337

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:58:36.140893Z digest=sha256:1aba99fbcc00b666a6cff582354ed9192d7f91b9e8d2e2c63d20a98853803c8b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:48:31.368314Z digest=sha256:f445d1fe919e3bec3c24df4faf1b8c699880f22f598bea515291c060cb2681fa

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

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source=pdf_text observed=2026-08-07T04:56:15.852449Z digest=sha256:544b8e19ab7dbf20c860707e05392666ba9a12df0f3cd37b2d07e1077e6509af

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:02.172261Z digest=sha256:9825701ccad4a4f105e1ecb477f4eb99375f2333d4fc47f8bceee0fb304c5da9

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:11:39.935794Z digest=sha256:bd00aedeefd13fae0c6ebdb883397a1f30c02d34a25009c5f1545ddc29d92642

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:10:49.315605Z digest=sha256:4b0d5cfa526e314c1c3abd12545f62e2506fe095d4e298798ec98671c3b18492

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:43.103846Z digest=sha256:b64beb1efe65b2138c4203fd9865ed573c77d242aa60a6f7a4e4227b53c55cf2

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:09.869386Z digest=sha256:d5fe5098c087ef8ee0f994685f9023c240b0a3193c20e1d62228eae5e9126cc3

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:52.643298Z digest=sha256:a42b4f19615126649fc63db7ccd8c6b475290ae8876ba3388a30fdaa8dcf090b

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:04:16.318206Z digest=sha256:411becc9861b3d5deebd34259733c1ce42f9ad2a6da49bae5458e7c1171741b7

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:56.989464Z digest=sha256:21892854341ca61168f6f032c0787c89d1d63fa615617c682e26d5b623f45f19

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:34.078903Z digest=sha256:b70c8c344d671be7ac6228466f95faf1269609037dc45ffad900b9844763fc9b

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:12:23.848909Z digest=sha256:88e44dcfbd488461995a78145b8ed2845dfeab77722226681928231b8ac21128

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

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source=arxiv_source observed=2026-08-04T11:23:17.912160Z digest=sha256:911241f323b62e20354ecfb45f1812945edc716cc479426365e9c5ef68fe3ccf

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:14:07.244303Z digest=sha256:277ebff8e0187f8ddd3cc259231149e1610b99799395e96621337fe1782f8da6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:52:41.486444Z digest=sha256:6fef95c9524eb9ce9759be08e3f933aa1d2a04913f9622ab39f6a09fa4768408

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:14:57.398767Z digest=sha256:e08c6d49aaeb9226006e4240b123d3daf541e85f4ad0b236b6640a65238cf967

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:58:58.298007Z digest=sha256:506ebe6f0a88db6a832b92414e893c00028c89f9467e873b6ee6aa742ca0ff77

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T04:45:21.450891Z digest=sha256:f6d5c57508d9afb27d6053fb2c0f07b43000a6a5d848f655745ffd00e05417c0

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:59:19.850223Z digest=sha256:cbac43546c91236770f923eaaea42d4d3d83977b69d470d74a373dca8ba09163

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

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arxiv_id, observed 2026-05-11T19:16:10.486840Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:20:00.515435Z digest=sha256:57bd9155ec663a84fd60d12b8925124b8c1e2945ca3d978ab89a9753f31be583

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:24:50.576359Z digest=sha256:430a3a08ff2af85c77935fadb4ae39cc147fb036495889f0fd80827cdfc040fb

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:32:26.952209Z digest=sha256:d21d96a7b1ab7c89c2cfed64e7b1cf36c375c44eb9deb01f3a2bb33bafdcd53b

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T07:39:46.649002Z digest=sha256:72fddfa97577a7d04b3ac14c1ba079bb84b9e21840845512b2161ed44a7979ba

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T05:27:50.881496Z digest=sha256:6e092a869b01b351a3a9017478f8c0108fa12e8fef4ece743fbc35f76d54a892

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:25:15.565386Z digest=sha256:5f4a756840fb101f25c94c4d5d0c5b3e0ae8dc53d614c24141e36cd1b00a9c51

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T19:00:30.961402Z digest=sha256:8b519c1ec1cf9e0e3ab954c13ca4b87658c3b34b06fe4afa30949811314afb67

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T10:27:47.896922Z digest=sha256:f39d5dd1ef63a51ff5f5128d1cb7f960d11efd1fbfd0df4b6e942563b70d9ff1

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:757eebe54e6490d321e12a85bb5ed082dc67521727bec64e4169cecf6366b67e

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T09:18:36.171276Z digest=sha256:467842c8c2ee2557bd213c41ecf2be248bc95d94ce7ec2ed2d6bc9c1cf9970d3

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T23:20:55.700250Z digest=sha256:2fdddd0f9475690c2afe3e6d5ec1d05ea7df2c3dc69fe72eb9d4f725baa1cb6b

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:11:50.269344Z digest=sha256:0e91f850bb1ee7f25e4ccccb0255020a44d02b9c08c49141698408f0caf2d0e1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:11.903341Z digest=sha256:f0eb195277b5550307518a8608f090d2c3d6101d75ae7d4d7d66e7398fe8fe37

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.

source=pdf_text observed=2026-08-01T15:40:21.303413Z digest=sha256:5babfe31dcdd6b3b5ad1ec8101d280b9f3c80c0d414b84941f0c8ea064caa3c6

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.

source=pdf_text observed=2026-08-02T14:14:33.470611Z digest=sha256:026063fea42e00baa18c5879ff9bf36ef73fa54e26e57b83a0399c8f3a8b300d

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.

source=pdf_text observed=2026-08-05T00:54:46.104792Z digest=sha256:d8029268e015c6552dc04fad6e9f0609e86e307861c9f6c09f60fb1d03ff52cd

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:00:45.952315Z digest=sha256:69c006043a6fcd1c2882de7b17a2629dd9677e57fdb739ea57543b95a36ce0c3