Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2201.04234.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:19.789920Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:37:22.648629Z
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 b95d07ad-659b-4d83-bf23-39a6ad480540 · inbound
Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift cites this paper.
Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:37:22.652834Z
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.
Observation 8505c97c-1384-4598-9fc2-ad0ed630f3f5 · inbound
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings cites this paper.
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:20:19.789920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe82142f-b97d-425e-9710-f0eb2b7673b2 · inbound
From Tea Leaves to System Maps: A Survey and Framework on Context-aware Machine Learning Monitoring cites this paper.
From Tea Leaves to System Maps: A Survey and Framework on Context-aware Machine Learning Monitoring Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:21:55.877030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19d35ce4-2da1-4e5c-b3ee-4e7f8b99cfdd · inbound
One task to rule them all: A closer look at traffic classification generalizability cites this paper.
One task to rule them all: A closer look at traffic classification generalizability Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:49.648306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e580284f-52b6-48d4-bd89-baae983cb2cd · inbound
LanePerf: a Performance Estimation Framework for Lane Detection cites this paper.
LanePerf: a Performance Estimation Framework for Lane Detection Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:40:09.520773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1c03d5f-31ad-4486-8ceb-c1c3807cf58a · inbound
Transductive Model Selection under Prior Probability Shift cites this paper.
Transductive Model Selection under Prior Probability Shift Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:31:14.578045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e125aa13-473d-46cf-b38a-2799056d6207 · inbound
Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings cites this paper.
Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:30:54.120203Z
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.