Pith. sign in

Paper Citation Record · LEDGER

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.15393.

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

pith.paper-citation-record.v1
2305.15393 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:07:57.741701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.562989Z

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 dda0a291-74e0-4055-87af-39cdf28ea324 · inbound

Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation cites this paper.

Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:55.564288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T03:11:18.416545Z digest=sha256:43df4d2a4db91cb53e23430e8c5235996efaa1828d6fcbcdf0551ea58b0f5f4c

Observation 08b4b17e-d836-40a1-b6ff-038dadcdbdd3 · inbound

Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models cites this paper.

Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T21:07:57.741701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:07:57.741701Z digest=sha256:9ecabaa8c439ef05695afe7a927f411cdb7f53047b23e1192edbef2849203d40