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Paper Citation Record · LEDGER

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.03904.

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

pith.paper-citation-record.v1
2309.03904 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:01:43.926363Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:01:44.157025Z

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 d303aef8-8cbe-45c5-b1a9-e0bbfb1632ef · inbound

Towards Scalable Topological Regularizers cites this paper.

Towards Scalable Topological Regularizers Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:01:44.161287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T15:01:43.926363Z digest=sha256:d25271e3dce68208889317675da13fd3b0b912f7eaf0f78ed78e7784499db7dd

Observation e0bd5800-dffa-442c-b380-5b2bef93cdc7 · inbound

A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs cites this paper.

A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T21:32:47.822382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:32:47.822382Z digest=sha256:64543daa3f057c4db7c0ad80568b70686c61211cbb3b344d9faf1b9c34c42f3e