Paper Citation Record · LEDGER

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2501.15407.

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

pith.paper-citation-record.v1
2501.15407 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:21:21.112317Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

40 of 40 outbound references displayed

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verified fuzzy16
unresolved24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5679aaa9-18f9-4fd1-9b02-7e977ee237c7 · outbound

This paper cites GPT-4 Technical Report.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation bce504c2-c3a7-4f3e-812d-2a659b5e3415 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:20.955046Z

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Observation dfde13b4-9b04-4ea3-8dfe-d7fb379d1ca5 · outbound

This paper cites PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:20.958934Z

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Observation 262f2de2-76bb-4300-9a89-5fd3fb6040fd · outbound

This paper cites Dreamidentity: Enhanced ed- itability for efficient face-identity preserved image genera- tion.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Dreamidentity: Enhanced ed- itability for efficient face-identity preserved image genera- tion

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.610812Z

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Observation 5b852a69-1fa5-4daa-b7c5-b38c52954765 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Diffusion models beat gans on image synthesis

Reference 5

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Source-reported events for the cited work

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Observation 9fe9d027-75a8-4abc-9275-8684ac492270 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Cogview: Mastering text-to-image generation via transformers

Reference 6

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Source-reported events for the cited work

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Observation 5cc748a8-9c69-4352-a826-dce035e22419 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Cogview2: Faster and better text-to-image generation via hierarchical transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.578478Z

Source-reported events for the cited work

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Observation 6c27041e-4eeb-4559-ba62-100ddca41486 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 8

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Observation a8016c8f-5aac-4ce0-9e1d-bdb178795419 · outbound

This paper cites LCM-Lookahead for Encoder-based Text-to-Image Personalization.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data LCM-Lookahead for Encoder-based Text-to-Image Personalization

Reference 9

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Source-reported events for the cited work

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Observation 21156779-49f5-4cf4-bc88-3d92ac57660e · outbound

This paper cites Deep autoregressive networks.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Deep autoregressive networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.565499Z

Source-reported events for the cited work

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Observation 20a5f207-f4aa-48ee-83b4-de71c2284875 · outbound

This paper cites PixelVAE: A Latent Variable Model for Natural Images.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data PixelVAE: A Latent Variable Model for Natural Images

Reference 11

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Observation 3bfc60d0-0bdf-4e51-8848-497b5d31f7dd · outbound

This paper cites Denoising dif- fusion probabilistic models.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Denoising dif- fusion probabilistic models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.554492Z

Source-reported events for the cited work

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Observation b8719205-4f76-4364-ae49-73db97b3412f · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 13

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Observation e317c8cb-4925-4f03-867b-b314fb4c31a2 · outbound

This paper cites GPT-4o System Card.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data GPT-4o System Card

Reference 14

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Observation 5f28e703-8957-440f-893b-9f2567272d11 · outbound

This paper cites DiffFace: Diffusion-based Face Swapping with Facial Guidance.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data DiffFace: Diffusion-based Face Swapping with Facial Guidance

Reference 15

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Observation 646d050e-727b-4da7-91e8-e799c405864e · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Multi-concept customization of text-to-image diffusion

Reference 16

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Source-reported events for the cited work

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Observation ef6e322a-51a5-4061-a439-72958143b26a · outbound

This paper cites Photomaker: Customizing re- alistic human photos via stacked id embedding.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Photomaker: Customizing re- alistic human photos via stacked id embedding

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.528937Z

Source-reported events for the cited work

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Observation dbc647e3-a695-4903-81e1-a7af2f2289d2 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 18

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Observation 0315b9e7-cc19-4e12-8edc-a7a7bf07e70d · outbound

This paper cites Portraitbooth: A versatile portrait model for fast identity-preserved personalization.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Portraitbooth: A versatile portrait model for fast identity-preserved personalization

Reference 19

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Observation d701fae2-2383-40dd-a483-d0887367d460 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

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Observation 1354e855-349b-46dc-8ee5-2ca2296e3c92 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Learning transferable visual models from natural language supervi- sion

Reference 21

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Observation fbae58a4-20a2-4f10-a822-cf36453fdb79 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 22

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Observation 37c909d3-52ff-470b-8d72-36dd99d7cca6 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 23

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Observation 7b6f2ec0-4e6f-4bb7-8a20-e9a2dfbc8910 · outbound

This paper cites Zero-shot text-to-image generation.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Zero-shot text-to-image generation

Reference 24

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Observation a93e6822-9ada-4fac-ad4a-0bb8f2dab944 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data High-resolution image synthesis with latent diffusion models

Reference 25

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Observation 7f335a4f-b615-4259-a389-5c37b22dd56a · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 26

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Source-reported events for the cited work

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Observation 28d511e6-1376-45f2-9e58-4b46d3df8fd1 · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Photorealistic text-to-image diffusion models with deep language understanding

Reference 27

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Observation dff8bc9b-4a26-485a-971e-cc560eed6702 · outbound

This paper cites Denoising Diffusion Implicit Models.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Denoising Diffusion Implicit Models

Reference 28

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Observation d21667f6-69ba-4db0-af2e-26d4e789a5d7 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Score-Based Generative Modeling through Stochastic Differential Equations

Reference 29

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Observation a5879b9d-6010-4345-9e30-463fcd2e4593 · outbound

This paper cites Face0: Instantaneously conditioning a text-to- image model on a face.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Face0: Instantaneously conditioning a text-to- image model on a face

Reference 30

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Observation c95d3b76-47cd-42f0-b29d-009b6bdb2bf3 · outbound

This paper cites Conditional image genera- tion with pixelcnn decoders.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Conditional image genera- tion with pixelcnn decoders

Reference 31

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Observation cfe7d41a-fd7e-4832-b5f0-03dc34a45eed · outbound

This paper cites Neural discrete representation learning.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Neural discrete representation learning

Reference 32

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Observation a1f4a7cd-4e3d-44b7-baec-ca5937d1a716 · outbound

This paper cites Attention is all you need.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Attention is all you need

Reference 33

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Observation bfa3a024-cd3e-4f7b-a2ff-58c348b1b27a · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 34

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Observation 97fbd63a-2196-4b29-b1f5-96686b6530bc · outbound

This paper cites Fastcomposer: Tuning-free multi- subject image generation with localized attention.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Fastcomposer: Tuning-free multi- subject image generation with localized attention

Reference 35

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Observation 4df77c1a-778c-4169-b499-c1cc83279670 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.385349Z

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Observation 7d17c42c-8d77-4042-9dd7-9e255225e99b · outbound

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 37

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Observation 86c4e8ed-c56e-4ac8-a42e-db8a666000a6 · outbound

This paper cites Inserting Anybody in Diffusion Models via Celeb Basis.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Inserting Anybody in Diffusion Models via Celeb Basis

Reference 38

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

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Adding conditional control to text-to-image diffusion models

Reference 39

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Observation b039f63b-1d08-48ac-b57e-aa10a9e30908 · outbound

This paper cites Diffswap: High-fidelity and con- trollable face swapping via 3d-aware masked diffusion.

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data Diffswap: High-fidelity and con- trollable face swapping via 3d-aware masked diffusion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:21:21.363697Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.