Paper Citation Record · LEDGER

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment

As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2507.19002.

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

pith.paper-citation-record.v1
2507.19002 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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measured 54 of 54 standing notices

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:58:08.761058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:17:26.248429Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bda621ab-8dc1-488e-b203-7ac91700a7aa · outbound

This paper cites Stable diffusion 3.5 large.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Stable diffusion 3.5 large

Reference 1

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Observation bdcdf7f6-40b0-4ff7-9b88-1194774267e5 · outbound

This paper cites Stable diffusion 3.5 large turbo.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Stable diffusion 3.5 large turbo

Reference 2

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Observation 573944af-e5ef-42c8-bbd1-54de38fbdbc2 · outbound

This paper cites StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models

Reference 3

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Observation e5b4c844-71c8-4833-b917-2b45b1f955a8 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Reproducible scaling laws for contrastive language-image learning

Reference 4

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Observation e6d0d5cb-a730-44b2-8556-b97a1a7254b5 · outbound

This paper cites Directly fine-tuning diffusion models on differ- entiable rewards, 2024.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Directly fine-tuning diffusion models on differ- entiable rewards, 2024

Reference 5

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Observation 500d36d0-40c8-4c7b-8961-0073801a2dd8 · outbound

This paper cites Cogview2: Faster and better text-to-image generation via hierarchical transformers, 2022.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Cogview2: Faster and better text-to-image generation via hierarchical transformers, 2022

Reference 6

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Observation 390dba54-4fc4-41bd-8b5d-d2d02b28660e · outbound

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

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 7

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Observation e8b89537-d542-4e7f-89d2-74c6d3e1af27 · outbound

This paper cites GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Reference 8

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Observation d936a42a-9b81-40ca-9540-0f26a149814e · outbound

This paper cites Op- timizing prompts for text-to-image generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Op- timizing prompts for text-to-image generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.653449Z

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Observation b83c7890-169a-4d37-a81d-ef36c7559271 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2018.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2018

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.636242Z

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Observation 6386b555-4c89-4fd2-8d19-d0b47a1ab62f · outbound

This paper cites Denois- ing diffusion probabilistic models.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Denois- ing diffusion probabilistic models

Reference 11

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Observation 6ba79372-4dc9-40b6-b274-2962f55a6f43 · outbound

This paper cites Information technology – digital compres- sion and coding of continuous-tone still images – re- quirements and guidelines.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Information technology – digital compres- sion and coding of continuous-tone still images – re- quirements and guidelines

Reference 12

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Observation b03907d3-128d-40ba-a1ec-83d5f879e178 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation, 2023.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Pick-a-pic: An open dataset of user preferences for text-to-image generation, 2023

Reference 13

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Observation 769f8c15-147b-48ac-a842-c86b9ff2fbc4 · outbound

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Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Unresolved cited work

Reference 14

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Observation 962c4e59-e349-49d5-bbb8-73578e36677c · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and genera- tion, 2022.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Blip: Bootstrapping language-image pre-training for unified vision-language understanding and genera- tion, 2022

Reference 15

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Observation 27b89135-56f9-46db-a087-232aad1431f1 · outbound

This paper cites Decoupled weight decay regularization, 2019.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Decoupled weight decay regularization, 2019

Reference 16

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Observation b29cf751-bb8a-4257-99e8-1e612bbf9054 · outbound

This paper cites STAR: Scale-wise Text-conditioned AutoRegressive image generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment STAR: Scale-wise Text-conditioned AutoRegressive image generation

Reference 17

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Observation 83200ca7-2e13-4347-b0c5-e6898a0405df · outbound

This paper cites Ai-powered image generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Ai-powered image generation

Reference 18

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Observation b11280d3-7343-4fee-975d-7a9eb3ea07bd · outbound

This paper cites Dynamic prompt opti- mizing for text-to-image generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Dynamic prompt opti- mizing for text-to-image generation

Reference 19

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Observation e8803778-3333-4553-8a54-d807a2670e44 · outbound

This paper cites Uniform attention maps: Boost- ing image fidelity in reconstruction and editing.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Uniform attention maps: Boost- ing image fidelity in reconstruction and editing

Reference 20

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Observation d534e4a4-2524-4258-b8bc-5d9eb2a3898b · outbound

This paper cites Dall-e 3.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Dall-e 3

Reference 21

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Observation 0b8eccd2-f8c1-43e2-aff7-d8e44539e1c2 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 22

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Observation 8193513d-2967-403d-a725-2790736b0eea · outbound

This paper cites SDXL: Improving latent diffu- sion models for high-resolution image synthesis.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment SDXL: Improving latent diffu- sion models for high-resolution image synthesis

Reference 23

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Observation 95a7d0a0-182c-4a33-b28d-115c0cc34527 · outbound

This paper cites On the Out-of-Distribution Generalization of Self-Supervised Learning.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment On the Out-of-Distribution Generalization of Self-Supervised Learning

Reference 24

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Observation 241ed4cb-ab43-4dea-a55d-a0486437b56a · outbound

This paper cites Controlling text-to-image dif- fusion by orthogonal finetuning.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Controlling text-to-image dif- fusion by orthogonal finetuning

Reference 25

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Observation 0bcdf783-ac8e-4981-a232-0bb8671de2ce · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Learning transferable visual models from natural lan- guage supervision

Reference 26

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Observation 2b1f95dc-063a-4ffd-a800-f2f3c10421d3 · outbound

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

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 27

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Observation 7d6ffa08-b8e5-4602-aee5-674fa98d7e3c · outbound

This paper cites Hierarchical text-conditional image generation with clip latents, 2022.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Hierarchical text-conditional image generation with clip latents, 2022

Reference 28

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Observation dab4b69e-e5f9-4cec-9630-fa4e0b6ea8e4 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment High- resolution image synthesis with latent diffusion mod- els

Reference 29

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Observation cf220621-bdf2-43d0-96dc-b076c525382c · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 30

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Observation 20a1b4e6-b69d-4397-bef2-a9d881fe116a · outbound

This paper cites Improved techniques for training gans, 2016.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Improved techniques for training gans, 2016

Reference 31

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Observation 9dfd8afa-b185-4e2c-ab3a-98d42ff09c6b · outbound

This paper cites Denoising diffusion implicit models.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Denoising diffusion implicit models

Reference 32

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Observation 5a8ea8a6-9659-4053-90af-43ae343ced84 · outbound

This paper cites Learning Invariant Causal Mechanism from Vision-Language Models.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Learning Invariant Causal Mechanism from Vision-Language Models

Reference 33

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This paper cites Joty, and Nikhil Naik.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Joty, and Nikhil Naik

Reference 34

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Observation f93b09e9-603f-46ee-ae38-e2c1a3a7394e · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 35

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This paper cites Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau

Reference 36

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

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 37

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Observation f548df4e-78e5-4707-941f-3686d8c975aa · outbound

This paper cites Human pref- erence score v2: A solid benchmark for evaluating hu- man preferences of text-to-image synthesis, 2023.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Human pref- erence score v2: A solid benchmark for evaluating hu- man preferences of text-to-image synthesis, 2023

Reference 38

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Observation 483df671-d50f-4372-b2e3-df941c890d18 · outbound

This paper cites Human preference score: Better align- ing text-to-image models with human preference.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Human preference score: Better align- ing text-to-image models with human preference

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.226892Z

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Observation 0872a63d-1ed5-4dfd-82a6-1b56bf6df2c7 · outbound

This paper cites Imagereward: Learning and evaluating human prefer- ences for text-to-image generation, 2023.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Imagereward: Learning and evaluating human prefer- ences for text-to-image generation, 2023

Reference 40

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Observation f826b0fa-3e4c-49dd-97b9-dda28b8f5086 · outbound

This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Attngan: Fine-grained text to image generation with attentional generative adversarial networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.188153Z

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Observation 3cb89925-643e-4fa7-bf5d-78fdb20e8551 · outbound

This paper cites Synthesizing long-term human motions with diffusion models via coherent sampling.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Synthesizing long-term human motions with diffusion models via coherent sampling

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.170787Z

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Observation 30f553e4-8861-4a70-8fc4-60c462c53ea9 · outbound

This paper cites Scaling au- toregressive models for content-rich text-to-image gen- eration.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Scaling au- toregressive models for content-rich text-to-image gen- eration

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.154490Z

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Observation b7b3b827-0a92-4d26-9640-1371687f615d · outbound

This paper cites V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation

Reference 44

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Source-reported events for the cited work

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Observation f214499b-233e-4606-bc11-1e07807ea24d · outbound

This paper cites Rethinking misalignment in vision-language model adaptation from a causal perspective.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Rethinking misalignment in vision-language model adaptation from a causal perspective

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.118053Z

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Observation 5cad291d-6381-4c09-b2d0-fe88c68470be · outbound

This paper cites Aligning few-step diffusion models with dense reward difference learning.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Aligning few-step diffusion models with dense reward difference learning

Reference 46

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Observation 70538c97-c069-487a-9c71-2b78efb41ac8 · outbound

This paper cites Llada 1.5: Variance-reduced preference optimization for large lan- guage diffusion models, 2025.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Llada 1.5: Variance-reduced preference optimization for large lan- guage diffusion models, 2025

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.098371Z

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Observation 3946fe8e-d1f3-48bc-a628-e0c27dff35a4 · outbound

This paper cites e” to denote images generated with base prompts and “r.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment e” to denote images generated with base prompts and “r

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.080695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1357ebee-c7cb-4df7-80e2-e95756f7e3fd · outbound

This paper cites an unresolved cited work.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:10:41.062701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1977e587-5552-4101-8cc1-72b810e41b5a · outbound

This paper cites an unresolved cited work.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:10:41.045459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cff9ba47-debb-48b0-ae58-a27d5c56c1be · outbound

This paper cites simple black hexagon, single geometric shape.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment simple black hexagon, single geometric shape

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:10:41.028078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2783e9ae-4894-4ff8-9a5e-188445dae9a6 · outbound

This paper cites an unresolved cited work.

Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:10:41.137474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation dde1f6ee-f58c-4ec4-829d-5167820bbb4f · inbound

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference cites this paper.

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T22:58:08.761058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e036bf74-7a24-4ac0-9d53-3addf87407b4 · inbound

Biological Reasoning-Informed Regression for Interpretable Regulatory DNA Activity Prediction cites this paper.

Biological Reasoning-Informed Regression for Interpretable Regulatory DNA Activity Prediction Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:26.249802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.