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Paper Citation Record · LEDGER

Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2503.21758.

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

pith.paper-citation-record.v1
2503.21758 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:35.875375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.730046Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation c3b6b41e-ba0c-419d-a92b-f756d57ba2b1 · 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 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 42

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Observation cf20f87c-f19c-496c-a84b-2ac9f43a21e6 · inbound

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

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 33

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Observation 6fa373d3-c999-4529-8b28-b6b25a390352 · inbound

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis cites this paper.

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 45

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arxiv_id, observed 2026-05-19T12:02:16.777883Z

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Observation 61d4ba0d-15e2-42f5-8447-be27274c680b · inbound

OmniGen2: Towards Instruction-Aligned Multimodal Generation cites this paper.

OmniGen2: Towards Instruction-Aligned Multimodal Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 57

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arxiv_id, observed 2026-05-19T07:52:10.760173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ef5c483c-58d7-44d2-a74d-067543e4b338 · inbound

NeoBabel: A Multilingual Open Tower for Visual Generation cites this paper.

NeoBabel: A Multilingual Open Tower for Visual Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 30

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Observation d93debd2-cb42-4fd0-ab34-ffb375b7d3ed · inbound

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning cites this paper.

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 32ae344f-8afd-48ac-9852-45f0ccab729b · inbound

Qwen-Image Technical Report cites this paper.

Qwen-Image Technical Report Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 22

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arxiv_id, observed 2026-05-10T14:29:07.035063Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1334e378-2710-40c6-98bb-fc525c8f27d9 · inbound

TBAC-UniImage: Unified Understanding and Generation by Ladder-Side Diffusion Tuning cites this paper.

TBAC-UniImage: Unified Understanding and Generation by Ladder-Side Diffusion Tuning Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 13

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Observation 2adb3ca7-36eb-4b9c-b93b-7669bfb14e18 · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 12

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Observation 40eae688-d8f9-47e2-9b6e-adfbe4888fd3 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 12

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Observation 3d14683f-f43a-4197-a578-4ebee96ed8be · inbound

Home-made Diffusion Model from Scratch to Hatch cites this paper.

Home-made Diffusion Model from Scratch to Hatch Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 9

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Observation aea23b05-9223-43c1-b718-afbfdddcb612 · inbound

Interleaving Reasoning for Better Text-to-Image Generation cites this paper.

Interleaving Reasoning for Better Text-to-Image Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 20

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Unavailable: canonical work link unavailable.

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Observation cbbeac40-3f01-459a-84ed-0493b3223119 · 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 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 49

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Observation 27886d84-cbfe-4079-8920-ccd470257e0e · inbound

Distribution Matching Distillation Meets Reinforcement Learning cites this paper.

Distribution Matching Distillation Meets Reinforcement Learning Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 39

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Observation edb03314-eab6-4b4d-bcdb-be41978b3855 · inbound

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation cites this paper.

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 40

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no resolver link, observed 2026-08-04T06:47:07.873473Z

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Observation 7d9dbf28-070c-41d4-a129-207913935929 · inbound

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cites this paper.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 58

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arxiv_id, observed 2026-05-11T14:08:37.008546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 083082b4-0ea8-4d8a-b712-96b7160d0bd5 · inbound

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cites this paper.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 58

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Observation befe0f3a-7480-4cc3-aeec-63ec3f64f23f · inbound

LongCat-Image Technical Report cites this paper.

LongCat-Image Technical Report Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 19

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arxiv_id, observed 2026-05-16T08:04:13.029742Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0253e21f-d921-4d20-a1ff-88383a38cdf1 · inbound

Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching cites this paper.

Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 2023

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Unavailable: canonical work link unavailable.

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Observation 1fc93bd0-ea88-4f5a-84db-06e4f6095fe6 · inbound

Self-Adversarial One Step Generation via Condition Shifting cites this paper.

Self-Adversarial One Step Generation via Condition Shifting Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 20

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arxiv_id, observed 2026-05-11T10:11:01.675830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 118126a2-3f19-4499-a5d5-8aa03d92e125 · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 45

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arxiv_id, observed 2026-05-11T10:01:03.037261Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8399110c-1922-4c33-820a-2bb8a8e7848a · inbound

Generative Refinement Networks for Visual Synthesis cites this paper.

Generative Refinement Networks for Visual Synthesis Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 45

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Observation 2a99ff9d-d136-4719-b385-a0e61630601d · inbound

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation cites this paper.

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 65

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arxiv_id, observed 2026-05-10T09:28:39.604186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5114d508-c6d6-4481-bb5b-4073d41af204 · inbound

Threshold-Guided Optimization for Visual Generative Models cites this paper.

Threshold-Guided Optimization for Visual Generative Models Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9d0ce595-9f39-4f25-89e6-01a4bc7447e9 · inbound

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition cites this paper.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 38

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arxiv_id, observed 2026-05-12T06:51:27.844740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7fd49c5c-3fcc-4cce-a469-347646180f21 · inbound

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition cites this paper.

Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 38

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arxiv_id, observed 2026-05-14T21:58:03.303843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ecbc9659-66b4-4984-9c24-35361e292d0e · inbound

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation cites this paper.

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 30

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arxiv_id, observed 2026-05-22T09:34:47.031098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7c3a0702-62ca-4086-a9d5-a23c4e174dc7 · inbound

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation cites this paper.

GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 30

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arxiv_id, observed 2026-05-25T05:40:23.991186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fd4017f4-8c36-4102-b103-339e5193d0d3 · inbound

GenClaw: Code-Driven Agentic Image Generation cites this paper.

GenClaw: Code-Driven Agentic Image Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 45

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arxiv_id, observed 2026-06-29T07:43:13.943488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 505f1313-5aa2-4e6e-a25e-d28ad52971f9 · inbound

ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations cites this paper.

ARM: An AutoRegressive Large Multimodal Model with Unified Discrete Representations Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 65

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arxiv_id, observed 2026-07-03T05:07:38.530836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bd6450f7-87ea-4b03-a6ff-815b06797e8c · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 265

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arxiv_id, observed 2026-07-03T17:18:43.731950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 113a3b8a-352d-4e56-912f-fb5c96026fcc · inbound

SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation cites this paper.

SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 30

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arxiv_id, observed 2026-06-30T06:54:20.745232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 609de051-5e25-4d66-8366-9228646e2255 · 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 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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