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Paper Citation Record · LEDGER

Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.17126.

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

pith.paper-citation-record.v1
2311.17126 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:05:33.637744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:10:22.275540Z

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 f56d5274-4670-4d52-a659-4a0762c5ca6b · inbound

CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation cites this paper.

CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T22:05:33.637744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:05:33.637744Z digest=sha256:b8c31757e05b29c995843041e57e3760fc9c4c431c41ead536ad7b81aa76db52

Observation 312f5fcb-2635-4e50-a77f-746ae2dc346d · inbound

GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration cites this paper.

GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T21:28:20.896387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:28:20.896387Z digest=sha256:ec9c11cfbd3959d11ad07e012b2e210c64f4669758d1d76891c2ea00e24dd355

Observation c000bed2-4927-4bfa-a668-1994c9d70f9b · inbound

Explainability for Vision Foundation Models: A Survey cites this paper.

Explainability for Vision Foundation Models: A Survey Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-10T17:26:35.388108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:26:35.388108Z digest=sha256:d08f39a69cabfe39ab329f64998a1ba2da2fb162843e85785e97f371be6ad380

Observation a3616101-272a-42c3-ba40-3b7a3e2eb9f3 · inbound

Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes cites this paper.

Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:10:22.278441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-25T05:07:14.227821Z digest=sha256:29868b0f93f067224bbd8c1c4cb1fe574c3ef1f6b216880eb23dcc8b675063e3

Observation bac52182-86d1-4124-a3d4-19a7fbdc2304 · inbound

Learning to Generate Multiple Objects from Dense and Occluded Layouts cites this paper.

Learning to Generate Multiple Objects from Dense and Occluded Layouts Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T02:09:14.783011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:09:14.783011Z digest=sha256:e6f119910ae8821be45c86dd5bd1f97b7c3498a7028420988447c40ebfce03bf