Paper Citation Record · LEDGER

VOS: Learning What You Don't Know by Virtual Outlier Synthesis

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2202.01197.

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

pith.paper-citation-record.v1
2202.01197 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:27.179513Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.017578Z

Reference resolution

0 of 0 outbound references displayed

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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 d3c4ba4b-8c50-485d-a463-391a29bd93f2 · inbound

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection cites this paper.

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:36:48.379400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d21a8204-c644-4cc3-8485-6f433f4fbc69 · inbound

Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability cites this paper.

Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:52:44.032676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9b90ccc-7982-42c5-8109-dd6c12449847 · inbound

UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time cites this paper.

UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:57:53.733223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d28b8e-65e4-4722-acfc-0c084ead09f6 · inbound

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection cites this paper.

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T16:19:59.510094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9917b5-57a2-492e-9e34-1b173fc68c35 · inbound

Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes cites this paper.

Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:28.310841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba9e8ab-751d-414b-beef-d425ae724db0 · inbound

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection cites this paper.

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:22:06.100385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92863cf3-78d5-41ce-905c-17fe87d0cc83 · inbound

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples cites this paper.

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T05:29:02.794449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0abb0b06-722d-4950-aafa-e5042c47a5b9 · inbound

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation cites this paper.

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T15:17:12.713724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1e72d8-2c95-47e5-961b-4d5df30fc83b · inbound

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection cites this paper.

Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:14:27.179513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fff2b79-dfd8-4b15-b118-8b27ed536ea5 · inbound

Graph Synthetic Out-of-Distribution Exposure with Large Language Models cites this paper.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:55.960500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbddcd6-6e36-445e-9d01-560aa53501a8 · inbound

Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.

Realistic Evaluation of TabPFN v2 in Open Environments VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:13.834222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f5711f-afd6-49ed-945c-50c29de8f574 · inbound

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? cites this paper.

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:18.565567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 386fbee7-0abe-4ec0-b313-a3c93f9461e5 · inbound

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention cites this paper.

Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:27.188718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55aa44ff-f4b2-41d3-bfbf-040a5324e93e · inbound

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection cites this paper.

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:53.278103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0ff50e-a408-4641-afb0-af89c630e410 · inbound

LLM-Guided Agentic Object Detection for Open-World Understanding cites this paper.

LLM-Guided Agentic Object Detection for Open-World Understanding VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:27:49.270142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e778d306-6290-41ef-8bda-cbd636aaf79c · 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 VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-04T10:14:07.210715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5693d9c7-7246-40c4-a914-8b708dea7b6a · inbound

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing cites this paper.

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:21:26.071069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f6a23e8-e638-4611-abde-5b2a0dffa299 · inbound

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels cites this paper.

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:06.663227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32a495bc-e8bd-42ce-b724-9d3e1c8916fc · inbound

GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels cites this paper.

GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:19:39.238387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83bfff3d-2e1e-459c-bf04-5bfecddca3cb · inbound

Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models cites this paper.

Debiased Negative Mining Improves Out-of-distribution Detection with Pre-trained Vision-Language Models VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:50:20.988566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3633c307-2707-4076-bd1f-b14387b34e92 · inbound

NegAS: Negative Label Guided Attention and Scoring for Out-of-Distribution Object Detection with Vision-Language Models cites this paper.

NegAS: Negative Label Guided Attention and Scoring for Out-of-Distribution Object Detection with Vision-Language Models VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:09:43.018966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab653a0c-e1bd-4393-9511-66942c88381c · inbound

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model cites this paper.

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T04:33:52.435023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.