Pith. sign in

Paper Citation Record · LEDGER

In Search of Lost Domain Generalization

As of 8 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 2026-08-07T06:34:17.273281+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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:17:51.511535Z digest=sha256:91a8fc07255b5eb1f386ff6bf185c4527ddffbce0be6363522ce932974be3d57

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T11:16:16.666438Z digest=sha256:893520294e4c81a2f0bed5a492b0f8999cc73c225dcfe92eff5904c1319821db

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T13:35:02.018244Z digest=sha256:50dbb4138b11431f7328cf67fb4664708d8fd44f01376011fa7d107092f6ec5d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:43.910367Z digest=sha256:0c9e3d656ffff03cdf7d53bb2a6e7fc244c80e4a1911213537c5a0991b13c5f4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:58:36.140893Z digest=sha256:7c2c47cedd27feae6a73c7d47cf58f8ec7d08584f81e679261e99d664a34ec13

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:48:31.368314Z digest=sha256:5fc5b0f1491887a24ef51e77a5584c3fdc64d406de100cf8f123bcc6736724ff

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
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=sha256:2463617d48d0caffd4f8360d40cb0ffad11f416b80e5e99f108dfc32ab357c89

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:11:39.935794Z digest=sha256:47d7650e1c37278ea927caa7ad9dc6db3b76a32209ba9ecb6d69324739ddea80

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:10:49.315605Z digest=sha256:277fd0f7dae238e35b0d8e03a8ab802c91f644683ea31bbdbeb6fe2b9e237e33

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

Source-reported events for the cited work

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:09.869386Z digest=sha256:575d38d75a83c9d9cedd96a06dc8002a3ef32f76e23e88b7e5ea9067a0c86a35

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:52.643298Z digest=sha256:b980dca4d9d8e69a85f584120c0bca6a4b98a78d17af286c8f93019a9ae426de

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

Source-reported events for the cited work

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:34.078903Z digest=sha256:dd3a5f479aaa87679d533396ed90dc70837eb42873d8c74c249d07514e5f89d5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:12:23.848909Z digest=sha256:deb0547c156deb7e5ecbaf46c43493ca38cf9fd9697340dd7fca7121aa7310b2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:14:07.244303Z digest=sha256:993a7d61f0788fc5f0d13b1dc2982e282e03c52404f48fc93222d3838226fb9e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:52:41.486444Z digest=sha256:7a0301650d894b006d5c6a6474e7bff62f558fdb1fb882a97975732a8ad8e756

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:14:57.398767Z digest=sha256:2926b8641159c8fa0d4dce3c442279db1b85f48f8b4be34bdea371668d27fb66

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:58:58.298007Z digest=sha256:8ff36ec19732a89467abf2c7b7172e35ad342eba442734bdad6bdee206832f7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T04:45:21.450891Z digest=sha256:a50d5c8ebecae23eb70b565d3f57c1e47ffcb17466275b83b3e32f49f127c31a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:59:19.850223Z digest=sha256:ac51174f341978c9f8fc66151f4f2e976d1af39cac8f0040c408eadc09ec0783

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:20:00.515435Z digest=sha256:42bf52cf71e80557ceb0cbb5e5ee5554254a247c2ba570c247e238e493c46d48

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:24:50.576359Z digest=sha256:88f0512f542116ff86af55278428cde159a4c0811b2941dad9d3865d3acb7f81

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:32:26.952209Z digest=sha256:f825da064a7fede34777c2e89063e96aca599e0cb4ae8ac7a2caa885e1172e7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T07:39:46.649002Z digest=sha256:4dd6d24c2e6988502249e4172b5be2e4aef42dc312c329ddcec6d7b3dc06dab3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T05:27:50.881496Z digest=sha256:cec613d8f03511e07fc81bc14154c0a5712d17a338f8a22191a73b0aa2ea1ff3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T14:25:15.565386Z digest=sha256:1c53cada9e25607d7bf50d8b47e626522778f74fca4d31d1be42c7b9198e8e00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T19:00:30.961402Z digest=sha256:a2cfa994247d438c8deafc9ca66a82b54ab79dd92a9923dc8246a8ca766db949

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:27:47.896922Z digest=sha256:29dc2a8e8bfa5076b0dfaa66f890a57b23f51131b696abfe66d678e44c20fafb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T07:12:13.693405Z digest=sha256:b2d29911c4fce6c97d763087a7343b219358a2be5231a4ed384df0dc41abb838

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T09:18:36.171276Z digest=sha256:c6fd21c3c11cbc050d52663e1d98e9e51bece752f9049d0e31bad9572ca0f49a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T23:20:55.700250Z digest=sha256:533dd657919a576787473b6ad03d01cc7a2c4080b6454c3d3cc6802da6ecd891

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=sha256:515682a21076c33bd464837e5b1713046a7c064b94655e89d243173ad6a0f02e