Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1609.02132.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:47:05.960476Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T14:21:48.140313Z
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 5c3201ca-024b-4811-904c-43a0b0afc483 · inbound
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization cites this paper.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:47:05.960476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1962bcac-fb42-4820-bae1-cfad6bdbe64f · inbound
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods cites this paper.
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T14:21:48.146374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.