Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.04934.
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 2026-08-06T21:02:26.629695Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:36:48.440903Z
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 2c4b3d2e-bc2b-48cb-8af9-9009eb867d4e · inbound
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection cites this paper.
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:36:48.444225Z
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 294fbc72-1727-4e73-990a-f23f4904a222 · 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 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:02:26.629695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7833460c-58a6-44bc-9cb7-df0d5798617a · inbound
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition cites this paper.
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:42:15.950789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.