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Paper Citation Record · LEDGER

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.25078.

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

pith.paper-citation-record.v1
2607.25078 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T01:59:33.219205Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation 56801564-353d-4aef-a4fd-b4cf103b7c3f · outbound

This paper cites Denoising diffusion probabilistic models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Denoising diffusion probabilistic models

Reference 1

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Observation 124b648b-4650-4d0f-aceb-a454e00a0e28 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models High-Resolution Image Synthesis with Latent Diffusion Models

Reference 3

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Observation 5e7576d6-2559-4b14-a636-2ee77f99ba42 · outbound

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

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Photorealistic text-to-image diffusion models with deep language understanding

Reference 4

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Observation 112da6ce-9021-4b6d-af83-42247e49e82f · outbound

This paper cites Ip-adapter: Learning to adapt pretrained text-to-image models for personalized image editing.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Ip-adapter: Learning to adapt pretrained text-to-image models for personalized image editing

Reference 5

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Observation 23967106-f6af-4800-bc8f-37ce13d1b003 · outbound

This paper cites Photomaker: Stacked-id embeddings for enhanced identity preservation in diffusion models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Photomaker: Stacked-id embeddings for enhanced identity preservation in diffusion models

Reference 6

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Observation f6997838-c582-48be-ac2b-2e6c781e3cda · outbound

This paper cites Instantid: Fast and accurate identity preservation in text-to-image models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Instantid: Fast and accurate identity preservation in text-to-image models

Reference 7

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Observation f30727c9-86e9-41d7-b350-5a910518a485 · outbound

This paper cites Coincident Learning for Unsupervised Anomaly Detection.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Coincident Learning for Unsupervised Anomaly Detection

Reference 8

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Observation 27a6e446-bfce-4024-9767-aaef24929011 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Zero-Shot Text-to-Image Generation

Reference 9

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Observation bf2148d4-3bcd-4a14-b696-7b62c4d3ea50 · outbound

This paper cites CogView: Mastering Text-to-Image Generation via Transformers.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models CogView: Mastering Text-to-Image Generation via Transformers

Reference 10

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Observation a027bbd5-08de-4cf4-a25a-3043c1b14ef7 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Score-based generative modeling through stochastic differential equations

Reference 12

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Observation 14e1a688-c1b7-4d61-93c3-bf4624e36a93 · outbound

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

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 13

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Observation 2245283d-c090-43e6-8d29-177680980704 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Adding Conditional Control to Text-to-Image Diffusion Models

Reference 14

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Observation adfbc9ae-6ef3-4b56-a25b-97c10e6d892f · outbound

This paper cites Learning transferable visual models from natural language supervision.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Learning transferable visual models from natural language supervision

Reference 15

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Observation fd7cf45e-ab7a-4616-8356-fc3ed735c388 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Arcface: Additive angular margin loss for deep face recognition

Reference 16

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Observation df39be2f-18cc-47c0-8dfc-6b99f03835b7 · outbound

This paper cites Inferring Catchment in Internet Routing.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Inferring Catchment in Internet Routing

Reference 17

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Observation 519ac840-ac1b-4fce-ba96-75dcaf0ec5e6 · outbound

This paper cites Ms-celeb-1m: A dataset and benchmark for large-scale face recognition.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Ms-celeb-1m: A dataset and benchmark for large-scale face recognition

Reference 18

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source=pdf_text observed=2026-07-31T01:59:33.117664Z digest=sha256:f755c3b44e5085233e13d172ca0151360c164d8fcee031ac4cdf54261cdbe8c6

Observation 61da9b6d-5d1c-450d-8347-7990456938d8 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models A style-based generator architecture for generative adversarial networks

Reference 19

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source=pdf_text observed=2026-07-31T01:59:33.122002Z digest=sha256:4873cf4a6e02712c2a0ad48b0a1513478fd343181910b6494e7295bb9d2f1111

Observation 4db83ab6-e3ab-4d43-83cd-e42529cd96b6 · outbound

This paper cites Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows

Reference 20

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Observation acc7478f-155e-45e5-8565-e564cd985640 · outbound

This paper cites Ganspace: Discovering interpretable gan controls.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Ganspace: Discovering interpretable gan controls

Reference 21

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Observation 04aad439-7e36-4e8d-9ff1-e59e8caf05de · outbound

This paper cites Diffmorpher: Identity morphing via diffusion models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Diffmorpher: Identity morphing via diffusion models

Reference 22

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Observation 13b363c2-24d1-478b-b88f-b99e62ee0e73 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen

Reference 23

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source=pdf_text observed=2026-07-31T01:59:33.140438Z digest=sha256:95e192771dfb48df44cc1d52cc2cf2595f44ea59429f3d6225034a309e86c99b

Observation ff6b00fc-c954-4d5a-b5a3-6c3758cf700e · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 24

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Observation 8e6b192a-2710-4fc3-80f4-d8f590b42e9b · outbound

This paper cites Facial geometric detail recovery via implicit representation.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Facial geometric detail recovery via implicit representation

Reference 25

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Observation 1df71b8b-303e-43fc-b254-30f84577c89d · outbound

This paper cites Sample and Computation Redistribution for Efficient Face Detection.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Sample and Computation Redistribution for Efficient Face Detection

Reference 26

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Observation f4eed8ff-c7fc-4359-b356-877786ee275e · outbound

This paper cites Ostec: One-shot texture completion.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Ostec: One-shot texture completion

Reference 27

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Observation 92aa0858-77bf-4ba1-a157-0a4e08e4fd3a · outbound

This paper cites Killing two birds with one stone: Efficient and robust training of face recognition cnns by partial fc.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Killing two birds with one stone: Efficient and robust training of face recognition cnns by partial fc

Reference 28

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Observation c3d8cab1-ca71-47b2-81bd-850c67c0db5f · outbound

This paper cites Partial fc: Training 10 million identities on a single machine.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Partial fc: Training 10 million identities on a single machine

Reference 29

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Observation f19999d5-727c-42ad-8a33-dc6a490fa4dd · outbound

This paper cites Sub-center arcface: Boosting face recognition by large-scale noisy web faces.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Sub-center arcface: Boosting face recognition by large-scale noisy web faces

Reference 30

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Observation 2d8a1945-cbce-42e9-aa40-4384bf34ff47 · outbound

This paper cites Retinaface: Single-shot multi-level face localisation in the wild.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Retinaface: Single-shot multi-level face localisation in the wild

Reference 31

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Observation 34320973-8931-4083-89c3-707773480f0e · outbound

This paper cites Stacked dense u-nets with dual transformers for robust face alignment.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Stacked dense u-nets with dual transformers for robust face alignment

Reference 32

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Observation a62c056a-f6c9-4704-bf59-204496e48571 · outbound

This paper cites The menpo benchmark for multi-pose 2d and 3d facial landmark localisation and tracking.IJCV, 2018.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models The menpo benchmark for multi-pose 2d and 3d facial landmark localisation and tracking.IJCV, 2018

Reference 33

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Observation af44e541-244b-4456-8fc9-ead5f253aad5 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Arcface: Additive angular margin loss for deep face recognition

Reference 34

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Observation 7fc0b999-a979-4f84-980b-fe8155f30062 · outbound

This paper cites Denoising diffusion implicit models.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Denoising diffusion implicit models

Reference 35

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Observation d805e155-38d8-4896-b0dd-971c6723b8a2 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 36

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Observation 639aafa9-5e48-4c64-bbbd-9087c62271b5 · outbound

This paper cites A survey on face morphing attacks: Vulnerability exposure in biometric systems.IEEE Transactions on Information F orensics and Security, 14(8):2156–2179, 2019.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models A survey on face morphing attacks: Vulnerability exposure in biometric systems.IEEE Transactions on Information F orensics and Security, 14(8):2156–2179, 2019

Reference 37

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Observation bea0089b-bf34-4acf-8a68-e64444643c8a · outbound

This paper cites Franco, and Davide Maltoni.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Franco, and Davide Maltoni

Reference 38

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Observation 2efd160d-b979-4d53-9ea5-1d0467d8f167 · outbound

This paper cites A morphable model for the synthesis of 3d faces.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models A morphable model for the synthesis of 3d faces

Reference 39

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source=pdf_text observed=2026-07-31T01:59:33.214798Z digest=sha256:a303b08bc535648e1c4b3580be0e26c1e70d95f334709602428bf15dc9813701

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

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 40

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