Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2202.06523.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:40:50.132255Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3a2c9dfb-1746-4d65-bc09-88ab62c17a37 · inbound
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups cites this paper.
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:40:50.132255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 759e4af7-0553-433f-a9aa-2f87f4f873df · inbound
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift cites this paper.
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:59:09.461324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c31ef96-6df9-46fc-8eb5-7373eea947ba · inbound
Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs cites this paper.
Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:58:05.288177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05f6f3c2-d4c3-4eed-9fad-eee12aaf5450 · inbound
Measuring Time-Series Dataset Similarity using Wasserstein Distance cites this paper.
Measuring Time-Series Dataset Similarity using Wasserstein Distance MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 1989
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:02:36.021253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a74d09b2-8d47-4aac-b52b-5976ad83a72c · inbound
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift cites this paper.
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:06:03.605756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bb44d4eb-6ea0-4679-b5b9-6cf27b51fa99 · inbound
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift cites this paper.
Right Regions, Wrong Labels: Semantic Label Flips in Segmentation under Correlation Shift MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T20:54:21.788940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 746d9364-cd9a-49a9-8d92-59cb18034ca2 · inbound
$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones cites this paper.
$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:06:26.769082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 19a97e16-0a04-42cd-94ba-2703ab4b83b9 · inbound
$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones cites this paper.
$A^2$: Smaller Self-Supervised ViTs Localize Better than Larger Ones MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T11:22:02.960906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 83235159-b169-42c3-ab47-08f7c576cb0e · inbound
Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement cites this paper.
Dual-Branch Cross-Projection Debiasing through Diffusion-based Disentanglement MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:59:57.165790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.