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Paper Citation Record · LEDGER

A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.02338.

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

pith.paper-citation-record.v1
2312.02338 v2

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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:50:16.899877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:29.326139Z

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 e4875ea8-abe8-463c-9f08-31fbad118f7e · inbound

EvalGIM: A Library for Evaluating Generative Image Models cites this paper.

EvalGIM: A Library for Evaluating Generative Image Models A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T15:50:16.899877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:50:16.899877Z digest=sha256:d53c01cc4abc57be4605f6b06efdd4bed6eef370caa060b86ef402eb7ae49e26

Observation a6584ee4-9f47-4f2f-b29d-84d7c3982228 · inbound

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

Explainability for Vision Foundation Models: A Survey A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics

Reference 250

Resolution
unresolved
no resolver link, observed 2026-08-10T17:26:35.969938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:26:35.969938Z digest=sha256:11e0e8de601ca3ae6733400293aa2812259bc104e5db2c3aae2d8d3f46ae5dca

Observation 53f5a135-43f9-47b5-b72e-db4660a2314f · inbound

Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation cites this paper.

Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:21.502877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:21.502877Z digest=sha256:3ec2516ff39af7b7cd077b81adee37600c076a441a36e1a121f72d63900e63b1

Observation b81d9de6-2ef1-43c8-97cc-b8ce2ce9268e · inbound

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models cites this paper.

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:29.150031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:29.150031Z digest=sha256:7cad20e2cd2437e839676f057532310a789bf7c18e6db7e4f483bb0b90f50c4c

Observation 8dd66c32-cfb3-488c-8cde-6df6baa043a0 · inbound

WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization cites this paper.

WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:29.328626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T17:54:09.656061Z digest=sha256:151223c946f91e534cd3ae3088318591eeb599a87a917552becf296b173799ed