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Paper Citation Record · LEDGER

MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.06048.

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

pith.paper-citation-record.v1
1903.06048 v4

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:41:06.127663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T16:39:41.826595Z

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 fe7c5150-be1c-4d96-ab8d-0fa473910746 · inbound

Hard-Aware Fashion Attribute Classification cites this paper.

Hard-Aware Fashion Attribute Classification MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-24T16:39:41.829379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-24T16:36:23.052866Z digest=sha256:485aa21d0090973387a269aa025b38d33ae3906b501869aa4d2af255e63fa148

Observation 372d9323-f266-484c-b723-70667b49955c · inbound

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach cites this paper.

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:41:06.127663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:41:06.127663Z digest=sha256:bf62e8ac1eb76093d0004d18b7a5087433c4325acb60d35ec42c89e13fa750c2