Paper Citation Record · LEDGER

Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2406.07546.

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

pith.paper-citation-record.v1
2406.07546 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:14.789184Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:50.423322Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 54752231-047b-4069-be2e-242b0b1df1de · inbound

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation cites this paper.

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:40:00.094694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation afdcc556-0802-4452-b94d-39fe4267e5f9 · inbound

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:02:43.281911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation adf6ea4b-8d45-4b8b-85df-de20ad9611e0 · inbound

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation cites this paper.

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:24:27.579185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc46d3a9-9e75-4f0f-83e2-6b198eacd0d1 · 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 Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:14.789184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b784e3f-2441-487a-a237-cf01ea15bdca · inbound

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models cites this paper.

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:32.854514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1e1bb1-ba1a-4820-90c6-e681d26cbd59 · inbound

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation cites this paper.

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:50.711956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5042c595-d8b2-4957-8d6e-e989a06c2c7b · inbound

GenSpace: Benchmarking Spatially-Aware Image Generation cites this paper.

GenSpace: Benchmarking Spatially-Aware Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:21.501770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ad961e-f0ce-402b-b9f1-d84bc5b2ff81 · inbound

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation cites this paper.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:25:44.095229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2461e4-cd1c-4b4a-9292-c133b1004b66 · inbound

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models cites this paper.

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:59.658017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c32426-e674-488e-8e1d-aaad6cc0f225 · inbound

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark cites this paper.

FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:48:03.655845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb48bd77-e076-41ca-a7fe-926222af3742 · inbound

Do Image Editing Models Understand Lighting? cites this paper.

Do Image Editing Models Understand Lighting? Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:50.425449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9bee8750-2446-469c-90c2-3cc1218ad00e · inbound

Do Image Editing Models Understand Lighting? cites this paper.

Do Image Editing Models Understand Lighting? Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T10:10:09.175457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 611ce9ff-7846-466d-a374-78755633f1e1 · inbound

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment cites this paper.

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:24:27.106668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64f394f1-01c4-4210-9b78-a5196d16eef7 · inbound

OmniPhys: Knowledge-Graph-Driven Benchmarking and Collective Optimization for Physical Commonsense in Text-to-Image Generation cites this paper.

OmniPhys: Knowledge-Graph-Driven Benchmarking and Collective Optimization for Physical Commonsense in Text-to-Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:54:37.826437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e6eff9-412a-43a9-9940-376db9b11c24 · inbound

ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation cites this paper.

ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:38.364743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.