Paper Citation Record · LEDGER

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2412.12391.

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

pith.paper-citation-record.v1
2412.12391 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:00.639240Z

measured 24 of 24 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:30:31.258053Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy5
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6eb7e9bf-7027-4ae4-9872-dd1ec108ed8a · outbound

This paper cites [Online; accessed 4-March-2024].

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation [Online; accessed 4-March-2024]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:01.006837Z

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.

Observation 65abf0c2-4b3b-4339-b2be-ae7f0ca877a8 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.540025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0157df-e0aa-498e-9542-d9fb1d151351 · outbound

This paper cites Mistral 7B.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Mistral 7B

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.556269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df311dd2-2ef2-449c-9626-236fec9ce460 · outbound

This paper cites Scaling Laws for Neural Language Models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Scaling Laws for Neural Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.561565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb023b8d-cfb7-4994-8ec8-83b8fd4eff4d · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.567171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3028d1b1-2011-410d-8a7c-5f5fa92057f3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.572731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09efea52-30c3-46c0-9fc2-2064026aefee · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.577563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14bd2e94-787a-4f10-8185-6e0c67911dc0 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation U-net: Convolutional networks for biomedical image segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:00.989413Z

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.

Observation 7df0b84d-929d-409a-8743-63c36ea9c0a2 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.598263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710f86f6-d71a-4824-8142-9e6a882a290c · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.604152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df250891-c198-42ef-8cf7-c91b44fff2f3 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.609126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a17937c-00ab-4842-8bb1-8e8b85577898 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.614058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 699907c1-0d15-4c46-a919-6f33a9bda6c4 · outbound

This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.618880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da66e0fe-1c08-4771-96c4-71e9a005ca97 · outbound

This paper cites LensArt consists of 250 million image-text pairs, carefully selected from an initial pool of 1 billion noisy web image-text pairs.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation LensArt consists of 250 million image-text pairs, carefully selected from an initial pool of 1 billion noisy web image-text pairs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:00.972905Z

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.

Observation 5ba47946-b5f7-4d59-a311-a52ff46defe1 · outbound

This paper cites B.1 B ENCHMARKS We outline the evaluation benchmarks used to assess the performance of our image inpainting and canny edge conditioning models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation B.1 B ENCHMARKS We outline the evaluation benchmarks used to assess the performance of our image inpainting and canny edge conditioning models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:00.956046Z

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.

Observation 0b2474e7-bbe9-4e35-b4b1-4e433df4a3e6 · outbound

This paper cites an unresolved cited work.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:11:00.939986Z

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.

Observation d2d2f455-3e5b-43d7-beaa-68fe9dad98db · outbound

This paper cites In addition to TIFA and ImageReward, we also provide the FID score, which measures the fidelity or similarity of the generated images to the groundtruth images.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation In addition to TIFA and ImageReward, we also provide the FID score, which measures the fidelity or similarity of the generated images to the groundtruth images

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:00.924216Z

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.

Observation 001bea12-8fd3-4ba3-bce3-ce49bc74b0c7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation LLaMA: Open and Efficient Foundation Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.593507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30cca4b0-6871-4574-a296-a74f49fb3437 · outbound

This paper cites TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.550971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a30b2d-0b47-440f-911c-a8e9c81fdd8d · outbound

This paper cites Denoising Diffusion Implicit Models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation Denoising Diffusion Implicit Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.588431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79e9040-d0fe-4f84-88b8-78fb9ef02d14 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.545632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23cdeee-dccc-42e5-91c7-345a749c17a9 · outbound

This paper cites On the Importance of Noise Scheduling for Diffusion Models.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation On the Importance of Noise Scheduling for Diffusion Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:00.529321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e89e2380-e22a-43ab-8d62-db81ad126e7e · inbound

Phase-Aligned RoPE for Mixed-Resolution Diffusion Transformer cites this paper.

Phase-Aligned RoPE for Mixed-Resolution Diffusion Transformer Efficient Scaling of Diffusion Transformers for Text-to-Image Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T20:30:31.258053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52761174-4d24-43fc-a1f9-7293d6313353 · inbound

Importance-Aware OBS Pruning for Diffusion Models cites this paper.

Importance-Aware OBS Pruning for Diffusion Models Efficient Scaling of Diffusion Transformers for Text-to-Image Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:49.288561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.