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Paper Citation Record · LEDGER

SerialGen: Personalized Image Generation by First Standardization Then Personalization

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.01485.

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

pith.paper-citation-record.v1
2412.01485 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:23:55.019924Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved26
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc5a8f55-09c2-407a-a126-8ed4776ea825 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e4792a2d-536c-42af-9ad8-d0befdae7dad · outbound

This paper cites Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion

Reference 2

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.816699Z digest=sha256:aa77ed77cf7761f9c6a3c7d7f90c9fb0c5b1b7ad5563a544b0d5d233d90ab7f8

Observation cb532b03-8534-43ad-b444-ef648a07090d · outbound

This paper cites Subject-driven text-to-image generation via apprenticeship learning.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Subject-driven text-to-image generation via apprenticeship learning

Reference 3

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.821363Z digest=sha256:cb0ca474243e9d752e0e9245985dbb8ebdc0369ea027eb3d3290c056675f15fb

Observation dfede0ed-3281-4ed5-bcdc-b7579abfc4a4 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Arcface: Additive angular margin loss for deep face recognition

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.825780Z digest=sha256:8041f83a4e57407ad60587ce7730173f0f374657d7a8d9dff271efc850c892fe

Observation 85ee379d-a7cf-40bb-b25d-d7f30f2cfbaa · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Sub-center arcface: Boosting face recognition by large-scale noisy web faces

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.830652Z digest=sha256:73d931597f2586ebde5e56d059eec3243a4a5641b2959a72c83042ab9ca13386

Observation 8073ff36-2b39-4ee5-a1f6-d4d7b71d516d · outbound

This paper cites Taming transformers for high-resolution image synthesis.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Taming transformers for high-resolution image synthesis

Reference 6

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source=pdf_text observed=2026-08-12T04:23:54.835256Z digest=sha256:9751dbe72523f507f615840b2421cac5d53bc42723ac77107f95585e09fda2dd

Observation e49f8887-e2b0-4a07-84a9-3120e96493af · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 7

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source=pdf_text observed=2026-08-12T04:23:54.840151Z digest=sha256:8d25126b8274b606e2adfb0a8606133cb3d38c8c9f127baa66f9091db2379541

Observation 03daaec2-d7c4-4cb3-8f9d-dd91ac00e259 · outbound

This paper cites Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023

Reference 8

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source=pdf_text observed=2026-08-12T04:23:54.844694Z digest=sha256:c7a24a1ac807c2020ef88bf5713382deab6efeed2b0007ecab35c1d4ac76998b

Observation ef148a19-8352-4684-876c-0c4ceb02c813 · outbound

This paper cites Lcm- lookahead for encoder-based text-to-image personalization.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Lcm- lookahead for encoder-based text-to-image personalization

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.848813Z digest=sha256:1e10aba6399725d17488130b1a9049f8be5bc4974439a35563128afb25f92dc5

Observation 4d5c165d-379a-4ae1-a3b7-a8a540b45526 · outbound

This paper cites PuLID: Pure and Lightning ID Customization via Contrastive Alignment.

SerialGen: Personalized Image Generation by First Standardization Then Personalization PuLID: Pure and Lightning ID Customization via Contrastive Alignment

Reference 10

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source=pdf_text observed=2026-08-12T04:23:54.857272Z digest=sha256:7c627a4575028be8a49b13882b32cb0b76f53c17acc27b3c4fcd0ba5bc66ce36

Observation d4674f08-52e2-4210-ad77-9cdafc35a08b · outbound

This paper cites Face-adapter for pre-trained diffusion models with fine- grained id and attribute control.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Face-adapter for pre-trained diffusion models with fine- grained id and attribute control

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.535943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 509bf708-001c-4389-80c3-de0556273ef8 · outbound

This paper cites Imagine yourself: Tuning-Free Personalized Image Generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Imagine yourself: Tuning-Free Personalized Image Generation

Reference 12

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source=pdf_text observed=2026-08-12T04:23:54.866733Z digest=sha256:3bd4a9086c4eecf3bdd74fea72cfa5b5cc5f0ec2c6d2e5dfc7a238d0a5adda46

Observation afbcdeff-5aaa-4bfc-86e3-d61e4caa7000 · outbound

This paper cites Image quality metrics: Psnr vs.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Image quality metrics: Psnr vs

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.871537Z digest=sha256:79bc48547e7e8014b3c360e7ae18f441c54d38f5135b75ae872845651f1ccf66

Observation e3dd52f6-0a60-4c59-8b7b-a1ac9e9db290 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

SerialGen: Personalized Image Generation by First Standardization Then Personalization LoRA: Low-rank adaptation of large language models

Reference 14

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source=pdf_text observed=2026-08-12T04:23:54.875780Z digest=sha256:ec4b828845b90f294e03b8665e908ef201bc105e3e019f191dd5594dbd23dceb

Observation 6bf60129-04a5-41ee-bbe3-d6c760f00bc4 · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 15

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source=pdf_text observed=2026-08-12T04:23:54.879820Z digest=sha256:a12ad8dd83aa736eee7bd5d277d4dedbb25cfc2c1587f4ca0a4649d23444a396

Observation 21cb2aa8-b57e-4e66-a0c5-925404573e35 · outbound

This paper cites TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models.

SerialGen: Personalized Image Generation by First Standardization Then Personalization TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models

Reference 16

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source=pdf_text observed=2026-08-12T04:23:54.883913Z digest=sha256:045da210f003a6546a4d4b94fb93cc6cc868db7a8488b842fddaf577c905f7b5

Observation fcba5630-b494-4939-8de7-69cc31d42d14 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Multi-concept customization of text-to-image diffusion

Reference 17

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source=pdf_text observed=2026-08-12T04:23:54.888417Z digest=sha256:2c1ef8d1959c8ffdad3f9590b2e0667083ebe028ecb2c10e28f9b4405ed3a63c

Observation 63938953-7dc4-457a-a3b6-ad2c1abd6a71 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Photomaker: Customizing re- alistic human photos via stacked id embedding

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.892635Z digest=sha256:203894e6365542966c2a4b95352e23a37bb8da66e79d3130b3a7c3921a892784

Observation 4aeb901d-0627-4a16-ba46-4d405b0ab0e7 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 19

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source=pdf_text observed=2026-08-12T04:23:54.896984Z digest=sha256:9909291978039ec75eea1473c286a2e537e3ce32c1c69e4374fb40e42401ec37

Observation cc472c81-27cf-4a61-a573-b7b8377a7f74 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Learning transferable visual models from natural language supervi- sion

Reference 20

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source=pdf_text observed=2026-08-12T04:23:54.901962Z digest=sha256:a52d9e136128877cd93c8625198365dcdceb106186ff2ef309a3316493f23537

Observation 6dc6b1fd-dd17-4fa5-87aa-a7a590660c2d · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Zero-shot text-to-image generation

Reference 21

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source=pdf_text observed=2026-08-12T04:23:54.906296Z digest=sha256:bba0dc044b5b39f254b958dd1593e4bde61f56d758f628ec4a92fffadee1b970

Observation ea4d644e-9523-46d9-a098-34370169f2b5 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 22

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source=pdf_text observed=2026-08-12T04:23:54.910539Z digest=sha256:abb8d8153c20efb7b88a88dd559f791007fc6395aa9a5f14618a2261c6fc7890

Observation fdd6b007-8a32-4ff4-8304-ee9535ba2d0a · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization High-resolution image synthesis with latent diffusion models

Reference 23

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source=pdf_text observed=2026-08-12T04:23:54.915014Z digest=sha256:c8f1a653e735412bb06ec983f3938f62880a706340e568aba284acf9ed34105d

Observation 9e2cbfd0-b698-4f03-993b-abc5c0320887 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 24

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source=pdf_text observed=2026-08-12T04:23:54.919304Z digest=sha256:30ea8e12ab192c650261b1eb4568c4df7e2c66caa6e8d185206cd281f6f3787e

Observation 23568a1f-3aa3-4fad-ad77-e1162651ca9a · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Photorealistic text-to-image diffusion models with deep language understanding

Reference 25

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source=pdf_text observed=2026-08-12T04:23:54.923672Z digest=sha256:dcf8d21861e4f9aba6888f0276a098c2acec3fbf072239fc6bb81760222659dc

Observation 25512679-ee02-4dde-84cc-a353ff2d1c3f · outbound

This paper cites Denoising Diffusion Implicit Models.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Denoising Diffusion Implicit Models

Reference 26

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source=pdf_text observed=2026-08-12T04:23:54.928296Z digest=sha256:ba527e6713d01659a8c93762870768d9aba2c27a163468e2a664479018c89aa4

Observation c7768a67-ebd1-49aa-94e8-8cd8a108c251 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 27

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source=pdf_text observed=2026-08-12T04:23:54.932628Z digest=sha256:cd337c05324fb72b98d92f0c9aca86371582662730c77fbf22328b8bad674eee

Observation 51ee2716-19b8-41ac-89da-d7c2180bf5da · outbound

This paper cites Disco: Disentangled control for realistic human dance generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Disco: Disentangled control for realistic human dance generation

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.937528Z digest=sha256:22201ed8235bca56d3273c11d7e88adc57836fcc157416cc7bcf6c0cf2b4b484

Observation b25145bc-ebd7-42cb-abc2-df0f5f2c10fc · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Image quality assessment: from error visibility to structural similarity

Reference 29

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source=pdf_text observed=2026-08-12T04:23:54.941873Z digest=sha256:314e2d9d5ca9b12a023f191059d6e888ecad8aeb9ca3b07bb75d8eb826b44da2

Observation 30901ea8-aa03-4bb2-aa46-b0f9ead47615 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Fastcomposer: Tuning-free multi- subject image generation with localized attention

Reference 30

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raw_fallback, observed 2026-08-12T04:23:55.397441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.946241Z digest=sha256:5b60d886c495fc7df6d0ad856d8ff8c1862c84303334850a63a4ab15d1df1ad0

Observation 0c48f119-6959-460c-aa69-76721b344970 · outbound

This paper cites Magicanimate: Temporally consistent human im- age animation using diffusion model.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Magicanimate: Temporally consistent human im- age animation using diffusion model

Reference 31

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raw_fallback, observed 2026-08-12T04:23:55.383093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.950539Z digest=sha256:cbedd86cfb1ca6c73b3906ee9887b1322c589b4a118dbb6eccfaa08d994d5f31

Observation 6b4776e5-f828-4fd3-989f-545a25ed85d7 · outbound

This paper cites Effec- tive whole-body pose estimation with two-stages distillation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Effec- tive whole-body pose estimation with two-stages distillation

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:23:54.954741Z digest=sha256:f3dfe8158cbafe63e5cd84c5d53031fe4b6471c1bf55c7c777a38723ba4aa291

Observation fe4cc9ad-69c5-4bd8-9e56-010c30b92c72 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 33

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source=pdf_text observed=2026-08-12T04:23:54.959056Z digest=sha256:663aa5e5f5a3931a3017ee8315820f67fb3abe35f3e51b39de9c7977e9b716d1

Observation aa4fa3da-a62f-4d54-9f16-7b7411a63aa4 · outbound

This paper cites Posecrafter: One-shot per- sonalized video synthesis following flexible pose control.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Posecrafter: One-shot per- sonalized video synthesis following flexible pose control

Reference 34

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raw_fallback, observed 2026-08-12T04:23:55.359557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.963941Z digest=sha256:ae51ad9da4243c91ae210bff30f87eabaa297948b3df36890406f225f65faad9

Observation b616c0b4-2b73-4e11-94b6-19b2d8d25e2e · outbound

This paper cites StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 35

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source=pdf_text observed=2026-08-12T04:23:54.968961Z digest=sha256:0faf2c5f9c6123574172c09e0ae65af4cea7354d2b3be5deec46179a99c2a684

Observation b490363a-116a-4e12-90bd-dd5598f55426 · outbound

This paper cites StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:23:54.973572Z digest=sha256:e4e8b5db70c5f924401c91667cd388a612b93d93db6f214845ae947423cdc9b4

Observation a2fe0804-7f03-4fb2-a396-3d8ef53eb31c · outbound

This paper cites Champ: Controllable and consistent human image animation with 3d parametric guidance.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Champ: Controllable and consistent human image animation with 3d parametric guidance

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.345970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.978592Z digest=sha256:5b654fb4cc08ba3c5eb998d08183de08f1445cb278ab5dc8c5e4e0fc00d85d4b

Observation 36d9767e-4fdb-4d7f-af2a-0a2af2fdbd54 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:23:55.332021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.983093Z digest=sha256:208352657e2979e813922acd841eee672084b43c545ac49562401ca2c4d5ebe3

Observation ab586aa7-9aea-4975-b56c-1199e060f7bf · outbound

This paper cites As shown in Figure 11, the standardization stage introduces a slight 3D style bias when standardizing images.

SerialGen: Personalized Image Generation by First Standardization Then Personalization As shown in Figure 11, the standardization stage introduces a slight 3D style bias when standardizing images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.318398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.987410Z digest=sha256:bf78972095b18ed4737ee2b13f716ea1c3219805ef8c52f997df8dd6686d40d5

Observation a011c236-e2ae-4475-ad3a-e7f980409d74 · outbound

This paper cites We give more comparison results with Fast- Composer, IP-Adapter and StoryMaker.

SerialGen: Personalized Image Generation by First Standardization Then Personalization We give more comparison results with Fast- Composer, IP-Adapter and StoryMaker

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.303378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.991556Z digest=sha256:f06e1ee00b147f55a29ff3a02c4aa49a1f6e6cbbaba12c1c5dc39cdb7444cae8

Observation 91ec6e65-b4f9-4466-9d62-c063bd77e800 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:23:55.288381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:54.996375Z digest=sha256:d4cc1d8e4daa8cb32d13804027874485ccd360b415df8d36e9d7c51b2e84526d

Observation ccbaade4-5488-4ffd-90c7-1000f417f76b · outbound

This paper cites Figure 12.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Figure 12

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.272740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:55.001042Z digest=sha256:d7ed449af88e4de0aa1b7e73464f51444be5370d05b2a9559caf80db2b7da982

Observation 7d598ada-e0b1-4d40-a89c-fd69d012c1ed · outbound

This paper cites For the reference encoder, we employ IP-Adapter [33], while SDXL is utilized as the diffusion model.

SerialGen: Personalized Image Generation by First Standardization Then Personalization For the reference encoder, we employ IP-Adapter [33], while SDXL is utilized as the diffusion model

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.259015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:55.005383Z digest=sha256:25c01fbb4c8327e39cce4b4f19c00b81c5fcf63a7de29470e731b7161703b30f

Observation 7cf65e6d-414d-4bde-847c-541337dab325 · outbound

This paper cites Experiments are conducted using the benchmark dataset TikTok [28].

SerialGen: Personalized Image Generation by First Standardization Then Personalization Experiments are conducted using the benchmark dataset TikTok [28]

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.245336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:55.010141Z digest=sha256:73d7e94662ef2c8b8a1816dc66449e942b202cee1199f6dcc206a3b5c18ac025

Observation ab3623fe-9635-42fd-8165-d58752032a98 · outbound

This paper cites As shown in Table 7, after the standardization stage, CLIP-I is 89.47, and Face Sim.

SerialGen: Personalized Image Generation by First Standardization Then Personalization As shown in Table 7, after the standardization stage, CLIP-I is 89.47, and Face Sim

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.230395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:55.014631Z digest=sha256:0d3ab364f53f6ceb7b96d04a67768979ab42848cb0a9a71b11a9da9d4ba8b19c

Observation 860976c0-10b1-4ff6-830c-e24528b24fe6 · outbound

This paper cites score of 0.46, CLIP-I score of 74.56, and CLIP-T score of 24.63 on the test dataset.

SerialGen: Personalized Image Generation by First Standardization Then Personalization score of 0.46, CLIP-I score of 74.56, and CLIP-T score of 24.63 on the test dataset

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.215269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T04:23:55.019924Z digest=sha256:11e042e2d66d7ecc5b41ae35b4cfba498ecc7a126266adb7b3db271c16800c4c

Observation fe2ab3c4-b6c1-49ab-abab-f0c3a4178e30 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 340

Resolution
parse uncertain
no resolver link, observed 2026-08-12T04:23:54.853154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:23:54.853154Z digest=sha256:e4faefa24fb4a8c0cda71c8a43048071441606ba52bee4ce3ae7d43a21e628a5

Pith citing papers

No inbound Pith citation observations are available.