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Paper Citation Record · LEDGER

RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12908.

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

pith.paper-citation-record.v1
2402.12908 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:45.990595Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:30:44.273868Z

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 9c59f979-4ab7-4988-b259-d1af31b4b372 · inbound

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models cites this paper.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.990595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.990595Z digest=sha256:940fc7c410c3da234b5032a59a71065858661448ec1b2cb72a2d5006f930891e

Observation b23fe8c5-40e6-4dc2-b397-95e9702cdb25 · inbound

Advancing Aesthetic Image Generation via Composition Transfer cites this paper.

Advancing Aesthetic Image Generation via Composition Transfer RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:30:44.277625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:23:12.827094Z digest=sha256:5a7d7856d8532b1ecfba4adb58782df719527dac4a85fc86dd88b0999e371e6e