Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
You Only Learn One Representation: Unified Network for Multiple Tasks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.04206.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:08:17.907263Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:57:23.253344Z
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 706f9583-d726-4808-ac75-c0ce2cfbfaa3 · inbound
What is YOLOv6? A Deep Insight into the Object Detection Model cites this paper.
What is YOLOv6? A Deep Insight into the Object Detection Model You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:34:55.239866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c31260b-4104-4c3b-b437-a01c8c18b7a5 · inbound
YOLOv4: A Breakthrough in Real-Time Object Detection cites this paper.
YOLOv4: A Breakthrough in Real-Time Object Detection You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:20:54.125137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f0e4c5a-d121-4ec5-9ca9-4906dff3dc5f · inbound
Foreign-Object Detection in High-Voltage Transmission Line Based on Improved YOLOv8m cites this paper.
Foreign-Object Detection in High-Voltage Transmission Line Based on Improved YOLOv8m You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:37:47.728193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcc98e63-093f-43b4-8d4c-bfcddb822663 · inbound
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective cites this paper.
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 147
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:10:59.657328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9801333-06a8-41fd-a757-6e55147f896c · inbound
YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception cites this paper.
YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:08:17.907263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8a1dd72-72c1-48d2-8a29-602f1d79669f · inbound
Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective cites this paper.
Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:18:08.334547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8ebdffb-b56f-4482-bf5e-4dc29b928f3d · inbound
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline You Only Learn One Representation: Unified Network for Multiple Tasks
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.254707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.