Paper Citation Record · LEDGER

Improving Compositional Text-to-image Generation with Large Vision-Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.06311.

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

pith.paper-citation-record.v1
2310.06311 v1

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:50.856287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T20:36:35.322493Z

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 d773c6ae-7ce0-4acc-90e3-fc520c889a19 · inbound

Unlocking Compositional Control: Self-Supervision for LVLM-Based Image Generation cites this paper.

Unlocking Compositional Control: Self-Supervision for LVLM-Based Image Generation Improving Compositional Text-to-image Generation with Large Vision-Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:01:50.856287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a68eda-ea4f-4bc6-a8ce-56170b0ecd0c · inbound

TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision cites this paper.

TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision Improving Compositional Text-to-image Generation with Large Vision-Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:18:49.998240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a110bba-da6a-4fa4-8485-8eefd35e848a · inbound

Dominant vs. Dominated: Concept-Level Generative Collapse in Diffusion Models cites this paper.

Dominant vs. Dominated: Concept-Level Generative Collapse in Diffusion Models Improving Compositional Text-to-image Generation with Large Vision-Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T15:25:47.262209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f3ac62-b9a3-41b9-9b02-8a2bac4b11b7 · inbound

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection Improving Compositional Text-to-image Generation with Large Vision-Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:36:35.324071Z

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.