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Paper Citation Record · LEDGER

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy

As of 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2508.09461.

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

pith.paper-citation-record.v1
2508.09461 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:12:53.964880Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved18
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79ed6c0d-65d1-47b9-b35a-48f9ef787255 · outbound

This paper cites write newline.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:50.255933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:50.255933Z digest=sha256:9db7f5a47dc088897d534be35d49c22ed3cca6ab1e76d15a4e5a162b3fdc341e

Observation a6b28bd9-af39-4820-9e42-ea4b89668026 · outbound

This paper cites Emo S tyle: ne-shot facial expression editing using continuous emotion parameters.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Emo S tyle: ne-shot facial expression editing using continuous emotion parameters

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.322387Z digest=sha256:3f5b0f48be067e6dbda3e0601f244180454c069fcea60200808e69740a6e3d51

Observation 074bcc0a-632c-446c-8329-42bd89113286 · outbound

This paper cites Layer Normalization.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Layer Normalization

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:50.401461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:50.401461Z digest=sha256:26fa45e64b2c0f844a568465e62357ac3daea99a6fccee6de6a97c33fee4be79

Observation 79fc8076-28a3-4801-a8e8-f885874b07c4 · outbound

This paper cites Improving image generation with better captions.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Improving image generation with better captions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:50.460409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:50.460409Z digest=sha256:404163ecffebdb7741df2c89f996d72569ab26caabed5d67bc2038cd562a8fcf

Observation dbc9beb5-a345-4c35-b6ca-6f6b6373aa1c · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Emerging properties in self-supervised vision transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.643933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.529185Z digest=sha256:dc9c98ffc3957551294eb3fe8e34b4b7c028156560b3702117b871ba8e5f4bf1

Observation 159f3d78-6a11-4bd8-b03e-12f6a4336853 · outbound

This paper cites Semantic-rich facial emotional expression recognition.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Semantic-rich facial emotional expression recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.627209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.588114Z digest=sha256:47cf7fe991795ecc2fd0344cdac9871bc1864fee13637e59ed560525b88e0705

Observation 8cb61e02-44c2-4a3f-beb2-1fca70de44f7 · outbound

This paper cites Star GAN: U nified generative adversarial networks for multi-domain image-to-image translation.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Star GAN: U nified generative adversarial networks for multi-domain image-to-image translation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.609751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.656503Z digest=sha256:a181e89ccc0f2b23787ac20273efd1d4612ab031a25f633b357655ffe606a6fe

Observation d2c31875-f6ff-4851-8417-e6fe023c6b8f · outbound

This paper cites GAN mut: L earning interpretable conditional space for gamut of emotions.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy GAN mut: L earning interpretable conditional space for gamut of emotions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.592791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.711050Z digest=sha256:b853b4e4566a63286728bafdea5c48578bc198388557b431135685167f4d05cf

Observation b8486c8a-144c-4e50-a3e6-4d35150d3569 · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Arcface: Additive angular margin loss for deep face recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:50.796841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:50.796841Z digest=sha256:20c820e7af17afe1f02057ea57b6ee26f8ab6dc882319a0932235d68de574e76

Observation a47a1f3e-9048-40b3-9c78-e5e4c3174fab · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Scaling rectified flow transformers for high-resolution image synthesis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:50.859006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:50.859006Z digest=sha256:13dff4d7b702da0a36f89495def3ba8654b8cf7f583a5651f1d1c878a0f93c68

Observation cb6de95d-60f7-4f5c-8125-6ced0128702b · outbound

This paper cites AI -based avatars are changing the way we learn and teach: benefits and challenges.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy AI -based avatars are changing the way we learn and teach: benefits and challenges

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.553994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.923676Z digest=sha256:310f4c261da801ecfac1fdd04c4ddf44eaed6db91e1fc9f0f769a94ce9b70cb1

Observation 2242a10c-137f-4aa4-8f7f-a0707e268564 · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.536808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:50.976283Z digest=sha256:2189cfbe8541105c73eecf0c683a99c31eb30582863babecee1039eeab15d565

Observation bda421dd-c3d3-4235-a5e6-bb44938bccea · outbound

This paper cites Generative adversarial networks.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Generative adversarial networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.037164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.037164Z digest=sha256:1ac164acc923e31c780615fd318f6ddd4c5229f2bbe6056f9d2c2a9d15e54169

Observation c36af7df-d63a-4675-8369-052c196e6652 · outbound

This paper cites Pulid: Pure and lightning id customization via contrastive alignment.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Pulid: Pure and lightning id customization via contrastive alignment

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.504801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:51.104856Z digest=sha256:cae660ac50f477ebcc4072f4c4d77ef25fa8e06359b9a99198b2eaef2aede5e4

Observation 7f4227ff-80b1-487d-8b36-4b79f0a21f12 · outbound

This paper cites Denoising diffusion probabilistic models.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Denoising diffusion probabilistic models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.168811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.168811Z digest=sha256:f800bd47e9e567b09efe44ce894c622376c80c5ebc7dadd3490d2cabec9c6c6d

Observation a956ad64-6a53-4041-9e04-cc0349e439f9 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.251635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.251635Z digest=sha256:320de498c95fe5164bb38418e794a87fb5ea1ab7de4457c8849209b1c44b3686

Observation 43d21aeb-d4ea-4883-9ae0-c2c698ac1fe7 · outbound

This paper cites Photomaker: Customizing realistic human photos via stacked id embedding.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Photomaker: Customizing realistic human photos via stacked id embedding

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:51.356873Z digest=sha256:fef827ce4ad337facdb75bb75f2e8dabb7b63dbbbfff752cd1175ff0ad8fa04d

Observation 210df281-e97e-4446-9629-61f7d8af1229 · outbound

This paper cites an unresolved cited work.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.428116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.428116Z digest=sha256:5cb5fc1d183fbb4d7ecf6d617f358be180c2163967f08d561ac6f50b7d99691d

Observation 8cd35dd4-200f-4d08-aa57-47e2c8c2ccb4 · outbound

This paper cites Towards a simultaneous and granular identity-expression control in personalized face generation.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Towards a simultaneous and granular identity-expression control in personalized face generation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.444014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1ca1b3d8-bb24-4e0f-9581-0c3c4efb8476 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.534644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.534644Z digest=sha256:cccc34d7d4597245b641badacc6ce8061475dd71f1a150db770cb9134781fcb6

Observation 1a6c9bf6-69d8-4b45-b716-506cf4d9de86 · outbound

This paper cites Deep learning face attributes in the wild.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Deep learning face attributes in the wild

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.612941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.612941Z digest=sha256:fd85d48407156ac35ee2bdde551d6bbbbc45079d28996461186be93896dbfabc

Observation 0eb23444-ef4a-46d8-87b3-13155669fcc2 · outbound

This paper cites Decoupled weight decay regularization.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Decoupled weight decay regularization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.679337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.679337Z digest=sha256:e100e209a303f56f05461c5699ff60cd51ad6edcab05466cec02c42492367d83

Observation bae5881b-dc05-420b-afe9-0339acb57f9c · outbound

This paper cites Affectnet: A database for facial expression, valence, and arousal computing in the wild.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Affectnet: A database for facial expression, valence, and arousal computing in the wild

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.392320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:51.739851Z digest=sha256:1f7e647f683c8b3b03d46e089efa1da639e0aade63f44e2e9c226b37eefd3e7a

Observation 0e2891f2-b288-4083-bfdb-5fbe07423590 · outbound

This paper cites Avatar design types and user engagement in digital educational games during evaluation phase.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Avatar design types and user engagement in digital educational games during evaluation phase

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.374298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:51.817784Z digest=sha256:bf7c5c5a4a5626739849226b445cd0f337bbff576f575b190335e436628d315c

Observation 8fe11bfd-c8fb-4139-ad2f-74681a40cff8 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy DINOv2: Learning Robust Visual Features without Supervision

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:51.899890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:51.899890Z digest=sha256:30df172cdc439215e98f895325afbccb775cb432038b05cf2daf5866621da9fe

Observation cc812c1f-15e7-46d4-85fd-f8b47955e507 · outbound

This paper cites All T ogether: E ffect of avatars in mixed-modality conferencing environments.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy All T ogether: E ffect of avatars in mixed-modality conferencing environments

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.355595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:51.980866Z digest=sha256:6f0bb117179c5195d3a96e21866d3bf61836b77d1eec4c2396737dfe9746a6d0

Observation 45c51cae-5f90-476c-9d9f-1305cf7bdca4 · outbound

This paper cites in-the-wild.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy in-the-wild

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.337335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.044065Z digest=sha256:e166b1ef247bbb932f78ffaedf0bfe89af41b181cbc6ae92f3225f579c26b63a

Observation 5d0618cc-37e9-4c5d-84b9-522db92eb79a · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Portraitbooth: A versatile portrait model for fast identity-preserved personalization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.317870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.117097Z digest=sha256:e2092bfb236d2adaf3970d0839e66eb7fb9e22bc453e8177df2538b2bcaa862b

Observation 73bacf15-2f91-44e8-89ef-908bb2d1e3f1 · outbound

This paper cites Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:12:54.179685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.185366Z digest=sha256:2f563a164d836cab7d82040eb5cdd648483a3e70169824f6dbc7b293f6a71a2d

Observation a3555eef-e4a1-4218-a67d-e9e6de2ff94f · outbound

This paper cites Martinez, Alberto Sanfeliu, and Francesc Moreno-Noguer.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Martinez, Alberto Sanfeliu, and Francesc Moreno-Noguer

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.298300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.242505Z digest=sha256:eb681a80d85ab54df7f857873fde313d3744640e044380a4333283be37e1cb28

Observation 0ca73688-0bb9-48cd-ba98-ee218f2d8f47 · outbound

This paper cites GAN imation: A natomically-aware facial animation from a single image.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy GAN imation: A natomically-aware facial animation from a single image

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.280205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.328638Z digest=sha256:8eaf3784db0b9e0dacb02c8cb52844566e823f6daea7b52e7eadafa5f896d7a4

Observation 878b9aed-ed3b-4581-86d8-af0372f3be8a · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Learning transferable visual models from natural language supervision

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:52.419888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:52.419888Z digest=sha256:32753ca7b0f8aac6193678a76216deb7a9888a940c045f0429b208aeb13e5844

Observation eadb9c87-0374-44c8-810e-c2bcdabe4ad5 · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy High-resolution image synthesis with latent diffusion models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:52.466985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:52.466985Z digest=sha256:1855d7a8111304c4d54954f1cda6de53597c2676dc9f3cdcd135fd15d9280b96

Observation 6826b9f1-1702-40ec-9252-315e55bda533 · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.240906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.555560Z digest=sha256:ea7848972995ab61dc2a30cc99bb26fe00df3b14c9c57ad6b038c650fbd05731

Observation 829851f7-6fde-456e-bcdb-2a2100cf01af · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Photorealistic text-to-image diffusion models with deep language understanding

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:52.642897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:52.642897Z digest=sha256:9ce46b6053c0d658fd2b533c89a1904ad8e17cc98f67addd207ddc03a0341e9b

Observation 6d6f94d5-f740-4b1f-89e8-0827c4915e39 · outbound

This paper cites Does avatar design in educational games promote a positive emotional experience among learners? E-learning and Digital Media, 18 0 (5): 0 422--440, 2021.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Does avatar design in educational games promote a positive emotional experience among learners? E-learning and Digital Media, 18 0 (5): 0 422--440, 2021

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.213869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.721176Z digest=sha256:f2d2b7ff14eaa4fadace3a893e4ca028e87d06593660cda5856e88c9402b7d05

Observation ae144e7a-5597-408d-b630-104fa98640c2 · outbound

This paper cites Emotion knowledge: further exploration of a prototype approach.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Emotion knowledge: further exploration of a prototype approach

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.196777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.767378Z digest=sha256:90802ec08604352d12be69e6d460c86d06d478ed4aa2daeaf8fd42e40b2d9a6c

Observation a3733a9c-7db1-4e69-94fa-06d76272635d · outbound

This paper cites Face2diffusion for fast and editable face personalization.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Face2diffusion for fast and editable face personalization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.179912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.849202Z digest=sha256:9465ad5aba5a5253fb5bafe260ed1dae1dfd70d156ff63f3a0de22eb945b5883

Observation 20b23467-3f8a-4c20-872a-18c438a68b9a · outbound

This paper cites IC face: I nterpretable and controllable face reenactment using GAN s.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy IC face: I nterpretable and controllable face reenactment using GAN s

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.162090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:52.947279Z digest=sha256:4d8e361901e8b5cdb309d76f3625cb92082b94d2f4d9eb019a422edde2df26b8

Observation a008834a-19f8-49c6-92c7-c01d066ae152 · outbound

This paper cites Facegan: Facial attribute controllable reenactment gan.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Facegan: Facial attribute controllable reenactment gan

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.145839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.005709Z digest=sha256:6d72bc755a1cb38aac868ce14b3d22b5be8166269318941e034ddfad9287e4aa

Observation 1ed4ade5-bf97-40a0-b57b-3f0175b367f0 · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Face0: Instantaneously conditioning a text-to-image model on a face

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.119925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.077390Z digest=sha256:e8e61303de14d10a3a1b48c9cc6f3b947f02a7d4b7c6af88e6f4cfd8ba998bdb

Observation 846810e6-4358-485b-b316-52712c6f0398 · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:53.149580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:53.149580Z digest=sha256:87a1008488660c58deb5aa64b1439ff3c681d73e236afa2ffaee210368e7b944

Observation ff9f51cf-7d39-44cd-8790-7c582d7f3c82 · outbound

This paper cites Freeman, Fr\' e do Durand, and Song Han.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Freeman, Fr\' e do Durand, and Song Han

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:56.020188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.200818Z digest=sha256:0dd06840ce1a942723b716101f3b616e8128bad2b63579567d7dc8508aed44fb

Observation aeef1599-9bb9-4c26-8e93-2affda566e83 · outbound

This paper cites Facestudio: Put your face everywhere in seconds, 2023.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Facestudio: Put your face everywhere in seconds, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:55.901970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.300969Z digest=sha256:f72dbfe22ba42c5afc497dcb7ceedcb302243cbea48c580bb095a3efd3be57e2

Observation a2fd6d67-7b67-4c12-b4a8-03d466346660 · outbound

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

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T21:12:53.378145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:12:53.378145Z digest=sha256:5d84103a91966672b23f072fec8e4a19485c057f0b045c46e2e11f0582d39110

Observation 9e48fc2e-c067-4cf8-8f32-a3125d36ac34 · outbound

This paper cites Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:55.767563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.474026Z digest=sha256:6d2131df133cbd6e6df00338919cb152df39da8b8d9eabb981b5d453baac66a2

Observation 63046ccf-b240-4289-a16e-2665776b7d1d · outbound

This paper cites Metaportrait: Identity-preserving talking head generation with fast personalized adaptation.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Metaportrait: Identity-preserving talking head generation with fast personalized adaptation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:55.636893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.539049Z digest=sha256:9387664199722c7c176a9917989b09df99a2ba7e81c88d8d090fa0d3655e481c

Observation 7ab2d8f6-adf5-4b8e-a52a-d6723b91399c · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023 b.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Adding conditional control to text-to-image diffusion models, 2023 b

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:55.438293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.614607Z digest=sha256:c15dbd58986ed05647d73808929e31d5d351046dbe0eca277ce0afa7fd628f28

Observation 7d49ab1f-a3bf-4389-af6a-8a42f974228f · outbound

This paper cites Action unit driven facial expression synthesis from a single image with patch attentive GAN.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Action unit driven facial expression synthesis from a single image with patch attentive GAN

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:55.142638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.705832Z digest=sha256:c3545a350a0e80a318c0640503928ee04060a473696f68168e6147a6a1f5216a

Observation a365a8c3-e6d5-4a0b-8b24-ce88e98babb0 · outbound

This paper cites POSTER: A pyramid cross-fusion transformer network for facial expression recognition.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy POSTER: A pyramid cross-fusion transformer network for facial expression recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:54.893822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.805686Z digest=sha256:aa1021902dde7ff84a07aeff9e095a6a1a81e8d55ebcdc3a4ec811b8731d6ed4

Observation 23badabd-8879-406f-af50-73b0b6090ff6 · outbound

This paper cites Storydiffusion: Consistent self-attention for long-range image and video generation.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy Storydiffusion: Consistent self-attention for long-range image and video generation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:54.655510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.860087Z digest=sha256:2a12e484c3625d2d44be5b71d0e38885a965970103378f151f2bb72876e28558

Observation 786a23a4-773b-4d10-81b0-136aaf5ab76f · outbound

This paper cites 4d facial expression diffusion model.

Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy 4d facial expression diffusion model

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:12:54.414798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T21:12:53.964880Z digest=sha256:85086d8e6759869dca73a23c03d2cca6f8db826870231499f34d5989906afc69

Pith citing papers

No inbound Pith citation observations are available.