Paper Citation Record · LEDGER

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.03478.

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

pith.paper-citation-record.v1
2508.03478 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:27:07.728838Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy20
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a11f6fb-9623-4ba7-bd79-f58c8810fdd3 · outbound

This paper cites Geometric approximation via coresets.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Geometric approximation via coresets

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:11.796976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3c4002d-4bdd-4b0a-b56a-24ecfde0bc1a · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence In- structpix2pix: Learning to follow image editing instructions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.417544Z

Source-reported events for the cited work

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Observation fe1371c8-7baf-4706-97ec-5e6eceb833f9 · outbound

This paper cites Train-once-for-all personalization.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Train-once-for-all personalization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:11.540914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f184b6c-e5f4-43cb-b46a-c3b92166fef7 · outbound

This paper cites Tailored visions: Enhancing text-to-image generation with personalized prompt rewriting.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Tailored visions: Enhancing text-to-image generation with personalized prompt rewriting

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:11.373124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56e3d5bb-839a-4a14-94b1-5cedb39579b0 · outbound

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

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Reproducible scal- ing laws for contrastive language-image learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:11.105810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd9b5a43-1eb6-4455-9bfe-0a80971edc40 · outbound

This paper cites Personalised popular music generation using imitation and structure.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Personalised popular music generation using imitation and structure

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:10.919908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64c388c5-10da-46bf-baa7-d3d1ab54bf8b · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:10.743757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79d16d07-04f5-456c-9c0d-1674e005359f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Classifier-Free Diffusion Guidance

Reference 8

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Source-reported events for the cited work

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Observation 6286249e-072e-49b1-825e-b4147aa8230a · outbound

This paper cites Diffusion Model-Based Image Editing: A Survey.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Diffusion Model-Based Image Editing: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.665471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0992dcb7-900a-4f29-b707-e35d94b7f08a · outbound

This paper cites Unified language-vision pre- training in llm with dynamic discrete visual tokenization.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Unified language-vision pre- training in llm with dynamic discrete visual tokenization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:10.452487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fb7d147-0199-48cb-b854-75e23808297e · outbound

This paper cites Com- binatorial optimization.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Com- binatorial optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:10.244510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c00bc135-1766-463c-a643-c45d15c191c5 · outbound

This paper cites What matters when building vision-language models?.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence What matters when building vision-language models?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.768468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eae80ef-1039-4767-bde1-e58b02ce154e · outbound

This paper cites Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.805555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982bde73-2abd-4a59-896a-f9614769cba2 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.848573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267965b5-b12f-44cf-b6e0-0feed4ee9fd6 · outbound

This paper cites Investigat- ing personalization methods in text to music generation.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Investigat- ing personalization methods in text to music generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:09.975296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e10179d3-8f32-4221-9772-943b17434593 · outbound

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

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:09.755907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68b63d3a-31b9-4967-bed2-5039d45b1f0c · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.958217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 417c400e-65fc-44e0-b0f4-08f53c92916b · outbound

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

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.996564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 271bdd33-3c32-4b21-a352-ba8396dc7f08 · outbound

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

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence High-resolution image synthesis with latent diffusion models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:07.037811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548126ba-e8ff-4e88-94cb-154c96daf361 · outbound

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

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:07.083254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b068d63a-58b8-4b8c-a6fc-717932ca176b · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Photorealistic text-to-image diffusion models with deep language understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:07.109833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c4d3d40-487d-4ae0-9ba0-2d31f15d2704 · outbound

This paper cites Viper: Visual personalization of generative models via individual preference learning.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Viper: Visual personalization of generative models via individual preference learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:09.534800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f5db486-00ab-4e83-b434-7dee27e4eb8a · outbound

This paper cites Active learning for convolu- tional neural networks: A core-set approach.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Active learning for convolu- tional neural networks: A core-set approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:09.349017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd691b09-b4c8-4b4c-a463-9c3cc9bc0cc7 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:07.232612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e72b70ab-76b8-4a0c-a865-055c7311113b · outbound

This paper cites Pmg: Personalized multimodal generation with large language models.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Pmg: Personalized multimodal generation with large language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:09.165401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0235b123-1174-4fa1-b7f7-f4692fd60bae · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:07.313856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93102507-5be2-4192-83da-a8920ee1096b · outbound

This paper cites Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:09.046378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9831bcaf-8fea-45c7-a636-d7064aa8cc14 · outbound

This paper cites FABRIC: Personalizing Diffusion Models with Iterative Feedback.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence FABRIC: Personalizing Diffusion Models with Iterative Feedback

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T04:27:07.841856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5202f187-61ab-4c06-9d8e-0b3e1f5c1f9b · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:08.861963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0be18fe1-78f6-4c15-908c-88e8f7d93167 · outbound

This paper cites Diffusion models for generative outfit recommendation.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Diffusion models for generative outfit recommendation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:08.693049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6aa8d3f0-36bd-44ea-8118-7e689937c474 · outbound

This paper cites Personalized image generation with large multimodal models.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Personalized image generation with large multimodal models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:08.507954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a05aa83-0175-4a86-8b34-b547fbe368b1 · outbound

This paper cites A new creative generation pipeline for click- through rate with stable diffusion model.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence A new creative generation pipeline for click- through rate with stable diffusion model

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:08.325821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3504d4a1-3da0-43ae-a884-44c5fc3b51e8 · outbound

This paper cites Personal- ized fashion design.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Personal- ized fashion design

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:08.152294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6429cff-f127-41e7-aa3b-846895576000 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Adding conditional control to text-to-image diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:27:08.017458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.