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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 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:57:49.201325Z

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 b62da3f1-b623-4e92-827e-7a92131c36f5 · inbound

All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds cites this paper.

All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds 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 2026-08-12T10:57:49.201325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:57:49.201325Z digest=sha256:70db82c95ccc3d9dad2817c978710a764064ef5ae68bd5e6ddf0ec10d461633b

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=sha256:30ed6d690c150807699574666614d531737217f2f15177c300c42f97197ea45e

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=sha256:8e85d9cbc73c80d17d4d38b90a4bed4ccbf5b573a4bd680fa1e17edb34018109

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=sha256:484fc6cf55ff9222b3a577d2a82697bdeb9cd5924345b1119326c513c375669a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-25T05:07:14.227821Z digest=sha256:4cb0b5a265f931d03e9820f548f68d76e1085ab005c553f1440c1d973f57f27c

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:a748f67389fe5f408bd7b9ab18360f66c6a27090da9a5d5cf8dffb1eb39af690