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Paper Citation Record · LEDGER

You Only Learn One Representation: Unified Network for Multiple Tasks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.04206.

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

pith.paper-citation-record.v1
2105.04206 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:20:54.125137Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-08T23:20:54.125137Z digest=sha256:8f0c8c4913f8dcf569fccc032db9372de32f7bfeb6e8a849d82d6be9b540403b

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.

source=pdf_text observed=2026-08-08T13:37:47.728193Z digest=sha256:b373a916cd4ead7866cd2795fb2d650520364cee13ab4adc34fbe7f17a94b5a3

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.

source=arxiv_source observed=2026-08-07T05:10:59.657328Z digest=sha256:a2b13293870b123364e3731d49b3cd23dae78439dda7db9122f1da632544c5ec

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.

source=pdf_text observed=2026-08-06T15:18:08.334547Z digest=sha256:a707ce2e996d768ac2221385e07b20e4a1f3fc36beb721455879a3084a8848b4

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T20:03:13.515338Z digest=sha256:cbd078d24af97a6fa014ae3a8cf66b233dd415be8859d10e63bb291b159ff61d