Paper Citation Record · LEDGER

Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.00303.

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

pith.paper-citation-record.v1
2205.00303 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:15:00.289939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:47:42.322406Z

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 c42476c4-7d2f-4536-806f-e97375c02e43 · inbound

ProCrop: Learning Aesthetic Image Cropping from Professional Compositions cites this paper.

ProCrop: Learning Aesthetic Image Cropping from Professional Compositions Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs

Reference 59

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:15:00.289939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ec9b9c-1468-4041-8d99-5d79307dce62 · inbound

CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design cites this paper.

CAL-RAG: Retrieval-Augmented Multi-Agent Generation for Content-Aware Layout Design Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:13.136379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235dabfe-001e-4476-88c5-421a8bf143d2 · inbound

Rethinking Layered Graphic Design Generation with a Top-Down Approach cites this paper.

Rethinking Layered Graphic Design Generation with a Top-Down Approach Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:18.301620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5371ea6-71c1-47f7-8e12-ec26bd8019f9 · inbound

IGD: Instructional Graphic Design with Multimodal Layer Generation cites this paper.

IGD: Instructional Graphic Design with Multimodal Layer Generation Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:47:42.329176Z

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.