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Paper Citation Record · LEDGER

Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.11778.

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

pith.paper-citation-record.v1
1805.11778 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:51.284800Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:39:42.336815Z

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 86d4c554-56eb-40ac-ae4d-ab780d1406c6 · inbound

Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants cites this paper.

Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:51.284800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:51.284800Z digest=sha256:9ad670fd7bb287960d0b9e7160eb62a30a8753a1bf093160a76932b737cc3044

Observation bce890f4-0e70-4ff3-aa9e-1089798ae07a · inbound

The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination cites this paper.

The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:39:42.338159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T11:10:27.459471Z digest=sha256:e459c03d93b323414759c4b5ab8bfe7d7fed5ef5c548997a48c64c2af0b5b13f