Paper Citation Record · LEDGER

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.21008.

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

pith.paper-citation-record.v1
2506.21008 v3

Coverage vector

measured 46 of 46 reference resolution

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measured 47 of 47 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:18:59.917851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:06:30.331882Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation acca898f-f57f-4e69-9985-f0d05922072d · outbound

This paper cites Only a matter of style: age transformation using a style-based regression model.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Only a matter of style: age transformation using a style-based regression model

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.290302Z

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Observation afca83a4-0f5a-4b3a-9f29-48e9d408e773 · outbound

This paper cites Stable Flow: Vital Layers for Training-Free Image Editing, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Stable Flow: Vital Layers for Training-Free Image Editing, 2024

Reference 2

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Observation 5e08d4e8-6c26-4f2f-b476-4c0a88321988 · outbound

This paper cites Masactrl: Tuning-free mutual self-attention control for consis- tent image synthesis and editing.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Masactrl: Tuning-free mutual self-attention control for consis- tent image synthesis and editing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.270934Z

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Observation bea7329a-1403-4ec0-8b31-fff29a3f2c13 · outbound

This paper cites Face aging via diffusion-based editing.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Face aging via diffusion-based editing

Reference 4

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Observation f5f08b67-5532-4833-99dc-572be39bc571 · outbound

This paper cites FluxSpace: Disentangled Semantic Editing in Recti- fied Flow Transformers, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion FluxSpace: Disentangled Semantic Editing in Recti- fied Flow Transformers, 2024

Reference 5

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Observation 6d82b854-555c-448a-ace7-d7b0d5e0b5e8 · outbound

This paper cites ArcFace: Addi- tive Angular Margin Loss for Deep Face Recognition.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion ArcFace: Addi- tive Angular Margin Loss for Deep Face Recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.240698Z

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Observation bdc2dcf0-98da-408d-a1e7-e023bb2c0a43 · outbound

This paper cites Fireflow: Fast inversion of rectified flow for image semantic editing, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Fireflow: Fast inversion of rectified flow for image semantic editing, 2024

Reference 7

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Observation b1ec69f6-f98a-4f51-812e-3e172119dcdd · outbound

This paper cites Trade- offs in fine-tuned diffusion models between accuracy and interpretability.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Trade- offs in fine-tuned diffusion models between accuracy and interpretability

Reference 8

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Observation 4aaa88c7-a8c7-4d36-9f86-dc12b573a39e · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Scaling Rectified Flow Transformers for High-Resolution Image Synthesis, 2024

Reference 9

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Observation e9af39c4-871e-4c76-b5f6-d48e3f4629c1 · outbound

This paper cites Personalize Anything for Free with Diffusion Transformer.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Personalize Anything for Free with Diffusion Transformer

Reference 10

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Observation 0e5e5146-db8a-4584-88db-fce95d867d85 · outbound

This paper cites Guiding instruction-based image editing via multimodal large language models, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Guiding instruction-based image editing via multimodal large language models, 2024

Reference 11

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Observation e69b0ec2-09d7-4da0-b58d-b881b355294e · outbound

This paper cites Renoise: Real image inversion through iterative noising.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Renoise: Real image inversion through iterative noising

Reference 12

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Observation 4875fd71-ab33-4afd-b202-5fb78b8c9a09 · outbound

This paper cites Custom structure preservation in face aging.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Custom structure preservation in face aging

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.174751Z

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Observation 452c6071-65d1-40fa-aff7-a1d34f0e5633 · outbound

This paper cites Prompt-to- prompt image editing with cross-attention control.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Prompt-to- prompt image editing with cross-attention control

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.164077Z

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Observation 340be2c4-49a8-4b65-b608-9e7e9aa17407 · outbound

This paper cites Agetransgan for facial age transforma- tion with rectified performance metrics.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Agetransgan for facial age transforma- tion with rectified performance metrics

Reference 15

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Observation 82f31e02-8783-46a8-b03a-9d6005e7e779 · outbound

This paper cites GPT-4o System Card.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion GPT-4o System Card

Reference 16

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Observation 1e971ee0-d400-4f71-86b6-b18631f6889f · outbound

This paper cites Flux Already Knows -- Activating Subject-Driven Image Generation without Training.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Flux Already Knows -- Activating Subject-Driven Image Generation without Training

Reference 17

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Observation 2bc26cfc-7a3e-4f10-9d69-d5ffbc0b06d2 · outbound

This paper cites Analyzing and Improving the Image Quality of StyleGAN.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Analyzing and Improving the Image Quality of StyleGAN

Reference 18

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Observation 48fc9a1e-f39e-44aa-ae36-c4ee9740af41 · outbound

This paper cites A Style- Based Generator Architecture for Generative Adver- sarial Networks.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion A Style- Based Generator Architecture for Generative Adver- sarial Networks

Reference 19

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Observation e005df3d-bbe0-44c0-9a08-2de1b81f5b68 · outbound

This paper cites FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models, 2024

Reference 20

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Observation 6cf547eb-1384-4e16-91ce-a7bf18dc9ac9 · outbound

This paper cites Dif- fusion models already have a semantic latent space.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Dif- fusion models already have a semantic latent space

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.105167Z

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Observation 5b35dbe8-71fb-4efa-9837-21d01e3005d1 · outbound

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The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Unresolved cited work

Reference 22

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Observation 2d0c0782-9971-4ade-b412-e80d314d6605 · outbound

This paper cites Pluralistic Aging Diffusion Autoen- coder.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Pluralistic Aging Diffusion Autoen- coder

Reference 23

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Observation 742fd441-a96c-4168-8820-e0110649bac1 · outbound

This paper cites Fp-age: Leveraging face parsing attention for fa- cial age estimation in the wild.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Fp-age: Leveraging face parsing attention for fa- cial age estimation in the wild

Reference 24

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Observation c31eb7d4-2928-4526-995d-bd6ea44960e2 · outbound

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The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Unresolved cited work

Reference 25

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This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow, 2022.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow, 2022

Reference 26

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This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations, 2022.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations, 2022

Reference 27

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Observation 7f7b6056-ff70-4663-ae3b-0207072ed024 · outbound

This paper cites Negative-prompt inversion: Fast image inversion for editing with text-guided diffusion models, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Negative-prompt inversion: Fast image inversion for editing with text-guided diffusion models, 2024

Reference 28

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This paper cites Null-text inversion for editing real images using guided diffusion models.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Null-text inversion for editing real images using guided diffusion models

Reference 29

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Observation 6921ad49-65a1-4fb8-8bf1-bff38df3410e · outbound

This paper cites LARGE: Latent-Based Regression through GAN Semantics.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion LARGE: Latent-Based Regression through GAN Semantics

Reference 30

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This paper cites Gpt-4o system card, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Gpt-4o system card, 2024

Reference 31

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Observation 917f3087-d76a-4586-936a-68b22dcdfd9c · outbound

This paper cites Arc2Face: A Foun- dation Model of Human Faces, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Arc2Face: A Foun- dation Model of Human Faces, 2024

Reference 32

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Observation ae9c2568-c7db-4661-ba2f-098ebc883dca · outbound

This paper cites Zero- shot Image-to-Image Translation, 2023.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Zero- shot Image-to-Image Translation, 2023

Reference 33

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Observation 4ecccd3d-a63d-4948-89e1-f8f98d0cdc34 · outbound

This paper cites Steering Rectified Flow Models in the Vector Field for Controlled Image Generation.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 34

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Observation eebcaeee-e20c-451a-a7d9-0dfc980bb2fc · outbound

This paper cites Wang, David W.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Wang, David W

Reference 35

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Observation 63cc95fc-3cc0-4cb0-8e9f-d482dfb9e405 · outbound

This paper cites Learning trans- ferable visual models from natural language supervi- sion.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Learning trans- ferable visual models from natural language supervi- sion

Reference 36

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Observation 0e9e7ef2-70f9-402c-a9ff-952a6caa9637 · outbound

This paper cites Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:18.981052Z

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Observation 8489e1ba-2243-4afd-8714-d1a0a1c8c0b5 · outbound

This paper cites Interfacegan: Interpreting the disentangled face representation learned by gans.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Interfacegan: Interpreting the disentangled face representation learned by gans

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:18.973121Z

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Observation 3cb3f212-3856-4942-86ac-07657dd44bbc · outbound

This paper cites Denoising Diffusion Implicit Models, 2022.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Denoising Diffusion Implicit Models, 2022

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:18.964696Z

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Observation 34b14253-f3ca-445b-a4fc-f12e81081695 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Plug-and-play diffusion features for text-driven image-to-image translation

Reference 40

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Observation 8758e136-7ac5-4139-bb21-fcc4454cb35b · outbound

This paper cites Diffage3d: Diffusion-based 3d- aware face aging, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Diffage3d: Diffusion-based 3d- aware face aging, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:18.946598Z

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Observation c648fcb3-e83d-49c6-b0f5-e20135a27d01 · outbound

This paper cites Taming Rectified Flow for Inversion and Edit- ing, 2024.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Taming Rectified Flow for Inversion and Edit- ing, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:18.937925Z

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Observation c4e95f6b-e78f-4282-896d-8ab4d3c2cb3c · outbound

This paper cites Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing

Reference 43

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Source-reported events for the cited work

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Observation 5b72108c-9199-4b52-a990-db259bfc60b1 · outbound

This paper cites HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads

Reference 44

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Source-reported events for the cited work

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Observation 9cdb8b90-33aa-4644-a21c-e902dabc7437 · outbound

This paper cites Diffusion models without attention.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion Diffusion models without attention

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:18.929398Z

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Observation b3432f68-506d-4790-9de6-a98ae8422b72 · outbound

This paper cites KV-Edit: Training-Free Image Editing for Precise Background Preservation.

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion KV-Edit: Training-Free Image Editing for Precise Background Preservation

Reference 46

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Pith citing papers

Observation 0447b94f-049c-4928-8cfe-c6237b72e3da · inbound

DiverAge: Reliable Pluralistic Face Aging with Cross-Age Identity Relation Guidance cites this paper.

DiverAge: Reliable Pluralistic Face Aging with Cross-Age Identity Relation Guidance The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:30.333693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.