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Paper Citation Record · LEDGER

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers

As of 8 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2507.15249.

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

pith.paper-citation-record.v1
2507.15249 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:42:23.969556Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

76 of 76 outbound references displayed

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  • verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0fc36e1-5535-47b7-8ad3-b304cc9f8402 · outbound

This paper cites Cross-image attention for zero- shot appearance transfer.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Cross-image attention for zero- shot appearance transfer

Reference 1

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Observation 749934f9-c3d1-41c8-a4e7-ce0a4f278f0f · outbound

This paper cites Build- ing normalizing flows with stochastic interpolants.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Build- ing normalizing flows with stochastic interpolants

Reference 2

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Observation 4fc5002d-a529-47f9-bf71-a046ba7b2921 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Blended diffusion for text-driven editing of natural images

Reference 3

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Observation 78862716-662d-49f2-bdc5-32fadb1fb38d · outbound

This paper cites Break-a-scene: Extracting multi- ple concepts from a single image.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Break-a-scene: Extracting multi- ple concepts from a single image

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c6603e2a-ab91-4e20-a3f0-3e2ae550e577 · outbound

This paper cites Diffuhaul: A training-free method for object dragging in images.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Diffuhaul: A training-free method for object dragging in images

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0698c2b5-0e67-412a-8383-5b0387814c93 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Stable Flow: Vital Layers for Training-Free Image Editing

Reference 6

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Observation 54bc3a67-0437-45f9-b8e2-4f611f159b68 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 7

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Observation 59fa54c5-312a-456d-96c5-35a5507c1687 · outbound

This paper cites Announcing black forest labs.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Announcing black forest labs

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a2fdb70c-f7c7-479d-84aa-bc2e195ba66f · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d3eac2d3-fda5-4887-8116-65c7341693f4 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Emerg- ing properties in self-supervised vision transformers

Reference 10

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Observation 8d5773ea-59f0-474d-91c5-ac3660498073 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 11

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Observation 95ca8f4f-a83f-4752-9cc6-16ef3e35bdae · outbound

This paper cites Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b7187cf9-bd19-4b97-8b50-dc7978e1ff9a · outbound

This paper cites Anydoor: Zero-shot object-level im- age customization.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Anydoor: Zero-shot object-level im- age customization

Reference 13

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Observation dc57bc52-c1b4-4430-948d-1e8a66024ea4 · outbound

This paper cites Turboedit: Text-based image editing using few-step diffusion models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Turboedit: Text-based image editing using few-step diffusion models

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dc9c94e6-ff2d-4e10-90b2-165fa99abee8 · outbound

This paper cites Diffusion models beat gans on image synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Diffusion models beat gans on image synthesis

Reference 15

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Observation b13ce25c-bd6e-49d2-beea-81d0efbaa469 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c7cc1989-b1c8-43d5-b54a-79abfa91f832 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers An image is worth one word: Personalizing text-to-image gener- ation using textual inversion

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1118441e-cc9c-4df2-aee9-c2f9edd44e86 · 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.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023

Reference 18

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Observation f36ad844-76c0-432f-88db-c24ea48c0fe3 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 19

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Observation 233a56ee-5228-4988-a44d-d57bd7371610 · outbound

This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Reference 20

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Observation a0d02556-2d73-42d9-b737-de5107740eee · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Prompt-to-prompt image editing with cross-attention control

Reference 21

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Source-reported events for the cited work

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Observation 646da62d-6509-4637-acf7-a8e15a080cc8 · outbound

This paper cites Style aligned image generation via shared atten- tion.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Style aligned image generation via shared atten- tion

Reference 22

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Observation bc2a0ad6-5978-43b7-8fb0-9b91f483f40e · outbound

This paper cites Denoising dif- fusion probabilistic models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Denoising dif- fusion probabilistic models

Reference 23

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Observation 1470610e-5b01-4ef1-a6ad-6a4d6c926002 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Cascaded diffu- sion models for high fidelity image generation

Reference 24

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Observation e9ec9992-c9eb-415d-90ea-c87857e677a0 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Lora: Low- rank adaptation of large language models

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4b07a769-450b-485d-bf04-b9958e18f46c · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers In-Context LoRA for Diffusion Transformers

Reference 26

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Observation 7a819dfa-e537-4693-8090-0c22ec6bae01 · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers An edit friendly ddpm noise space: Inversion and manipulations

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f9e9447c-8737-4076-80a7-ec23b47b9e9f · outbound

This paper cites Open- clip, 2021.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Open- clip, 2021

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4617ca4a-27b5-4187-ae78-9c635720c0c4 · outbound

This paper cites Auto-Encoding Variational Bayes.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Auto-Encoding Variational Bayes

Reference 29

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Observation 46a70162-e293-460e-88a7-5e559cb056b0 · outbound

This paper cites Segment any- thing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Segment any- thing

Reference 30

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Observation 86b9a22c-7694-4afe-b81d-cb5242042915 · outbound

This paper cites CustAny: Customizing Anything from A Single Example.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers CustAny: Customizing Anything from A Single Example

Reference 31

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local_arxiv, observed 2026-08-06T15:42:24.405917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ab6b7625-8475-4d36-9484-204d82fac132 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models

Reference 32

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Observation 106e1610-8cad-4168-964e-bea0d063ae35 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Multi-concept customization of text-to-image diffusion

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T15:42:25.001685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 16cb0120-21de-469b-ae50-76f001e34c22 · outbound

This paper cites Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 34

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raw_fallback, observed 2026-08-06T15:42:24.986082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 86465e29-f5a3-4086-b37e-95a6c22fb711 · outbound

This paper cites Flow matching for genera- tive modeling.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Flow matching for genera- tive modeling

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.966892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.770079Z digest=sha256:abd190d6abd4fd3cd50e13bed8427ceb9afb476422ece5c9c7561c2de1eac976

Observation 825bc19f-a0a4-404c-a5cd-c744c7e870bf · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.950729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.774701Z digest=sha256:71aa70eeb3eb5d927336245a89f6681fd5a18ee4ea491f11d7656fa8ba11f09f

Observation 29d165c5-8bfe-4bd9-a98f-8bef86e48dd3 · outbound

This paper cites Qwen2vl-flux: Unifying image and text guidance for controllable image generation, 2024.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Qwen2vl-flux: Unifying image and text guidance for controllable image generation, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.934913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.779529Z digest=sha256:f93182d36154c7362dd3690e551a86920ef37967077314b6a815651ad457a5b8

Observation 3774e977-807c-44de-a12f-b55df02e40a3 · outbound

This paper cites Realcus- tom++: Representing images as real-word for real-time cus- tomization.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Realcus- tom++: Representing images as real-word for real-time cus- tomization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.784894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.784894Z digest=sha256:a1cdc6a211ab3c69c1a0f1f0756968aff97407e04074bf67bc31cb6073060a7d

Observation fcf1bb55-d39e-4b1f-a997-c45728ecf630 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Null-text inversion for editing real im- ages using guided diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.920137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.789346Z digest=sha256:81ae5c7b532df628c3ae7e22eec709f724b7d1864206589504f1616a45a14bab

Observation 8e315a59-7fe0-4ed3-ab7f-2fe6123ff3fa · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.793662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.793662Z digest=sha256:8315b3b32f07fb2f012a3fa4dc80a6d4259d7184934923dbef07a3b23eb006b0

Observation 07fb15f3-07d5-4f3b-9dda-80d74de4c5a9 · outbound

This paper cites Kosmos-g: Generating images in context with multimodal large language models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Kosmos-g: Generating images in context with multimodal large language models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.905117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.798140Z digest=sha256:1e96c161d916984937ac75f03eff38421235434b3e38f10c4ba62ed647d48444

Observation 3c31e1eb-ea3a-4111-9035-2c7dd7cfa1e7 · outbound

This paper cites $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.802400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.802400Z digest=sha256:2a4a6bddb07c3a55c73202e0f32674ab8d69e5729afe5d38de0187c44ce9f40d

Observation 699f3f3e-f90a-4bee-b3a1-4c5c56696c2a · outbound

This paper cites Scalable diffusion models with transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Scalable diffusion models with transformers

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.806982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.806982Z digest=sha256:547042fc09011aada89cc6470bd95044476db544d918d5cc830865069895be69

Observation 5d0529ee-bc0f-464f-87d0-895ab8f3d51f · outbound

This paper cites DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.811397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.811397Z digest=sha256:63225c7787bde8aad73d957de7edd0e761506959284f2ba289bf599798ab38df

Observation de445136-5064-41be-8c65-e10b17e36749 · outbound

This paper cites W ¨urstchen: An ef- ficient architecture for large-scale text-to-image diffusion models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers W ¨urstchen: An ef- ficient architecture for large-scale text-to-image diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.881009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.816182Z digest=sha256:a7e2e8b7689662e8563537eafba3b650d48d5f9f89ef09888c84c6a633b7dc26

Observation 77e1a410-add2-4a14-8e08-01a4475b0892 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.866089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.820682Z digest=sha256:bf55d44df286ea83ff059907e40b247ad15db4e88b592e70651fd41d81aad703

Observation 80ec5d76-dcd1-43a9-9e67-8e6d3d7716e7 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Learning transferable visual models from natural language supervi- sion

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.826706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.826706Z digest=sha256:54ea88409e939996aa0a15b1f5f1da20c8a02fa696fa986fb250685242485a5c

Observation 471ea338-1de3-44ae-976e-e69c96f00763 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.831157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.831157Z digest=sha256:69c23d3332aeecf57ed74c3728fb2772daff1e135efbe86ebd9803fd1c5a33d6

Observation dad42920-6d5c-4993-9edb-7775ebeb62f5 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.835535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.835535Z digest=sha256:2f74435c2ded92b91c967566a241554d393fba853baf8ec7588cc8c4b58f03f3

Observation cac30576-8ee9-42da-a1c8-5f207170898a · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.828990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.840442Z digest=sha256:1abb6c03cf703247003bfdc24c6042bf909c83d5a642b450771c8d2b96db0259

Observation 72e4448e-e40f-4b83-8261-d3576db8ec3a · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Photorealistic text-to-image diffusion models with deep language understanding

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.845436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.845436Z digest=sha256:eb06158ff0bd925380d5bfb92cddda57369ff57568ac5d3a9aec7b990f289a6a

Observation 9c248c89-8c49-47e0-a1c7-a01b804fac1f · outbound

This paper cites Denois- ing diffusion implicit models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Denois- ing diffusion implicit models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.801454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.850592Z digest=sha256:5bab5a59187ede20db91d3b801671901b94021e298c222f4bbe14f2a4cabc88e

Observation bb40ed93-588f-4de6-b1de-94b7460c8217 · outbound

This paper cites Moma: Multimodal llm adapter for fast personalized image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Moma: Multimodal llm adapter for fast personalized image generation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.785536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.855563Z digest=sha256:596d778b48d2136d4ff5619d10a74b7474b50b87fee28a063e0da406c55a8d68

Observation 28c56211-dcc2-48e0-93eb-60f53ed255e1 · outbound

This paper cites Generative multimodal mod- els are in-context learners.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Generative multimodal mod- els are in-context learners

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.769535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.860519Z digest=sha256:5a88ed3ecd1060aff1feb37b9bea46d585f213a8a4f2a41f53b84d4b558e79e8

Observation e63066f1-8d77-41c4-a125-054cb7a63498 · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.864893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.864893Z digest=sha256:cf6e3a70c2ce698135fb01a606ff9f8e224c7c5c1fc953fa4fb7e2fb007fd70f

Observation 15a87d5e-36a5-4526-9512-0021ebcc9716 · outbound

This paper cites Key-locked rank one editing for text-to-image personaliza- tion.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Key-locked rank one editing for text-to-image personaliza- tion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.753019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.869614Z digest=sha256:5a5f6f61bef6d86579b52bc4e5bda2342662843011890aacf813bc117176f0f4

Observation bfc56a97-489d-4d25-be54-46ddec5b3c93 · outbound

This paper cites Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.874218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.874218Z digest=sha256:861997bb0a0c432c71df601f51447038d57b30d9e1d3e40bb6b58a9139fdd98c

Observation c74a4a35-77c7-487f-a7db-f0239f1b4c61 · outbound

This paper cites Training-free consis- tent text-to-image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Training-free consis- tent text-to-image generation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.737120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.879864Z digest=sha256:a8d94ce05f4e8930b21d0df933dde77df3bc204bf81a7e48dccceb0c6dc277dd

Observation aa3f0237-836c-49c5-9f68-96d0f5029764 · outbound

This paper cites Attention is all you need.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Attention is all you need

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.884370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.884370Z digest=sha256:60fb052e27bcbcb66a60fcd5e5ada5edc7fb78393ca4ec430ab30fccd588570b

Observation eede7dc3-7352-4d6d-935d-48224c569f31 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.888890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.888890Z digest=sha256:b9c6fde0ee3c6b73ac9fa22735e7f5fd6e443cd9c0eef14410481fff294feb35

Observation 65ce5542-fe11-4ae3-863b-43ae8d81d01d · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.893418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.893418Z digest=sha256:b9201afd8436ffb7a984a5974b727b0e68129afd8df8397496554771304eff12

Observation 961c9dc6-24ff-43a8-8f69-930a481a52df · outbound

This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.898097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.898097Z digest=sha256:52ba0e038bc2e561ccc0bbd4766dbe0605b559e036f382b2b4b886da4bcd0336

Observation 48fff781-337d-430e-a443-b4ed2e693713 · outbound

This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.711588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.902696Z digest=sha256:911e2f1a72f9f3e2477551e27506f8043a38fe01cc8a9999835b7c3d9b9126d2

Observation cac199a0-1bd3-478e-b343-4e7e0ff73c11 · outbound

This paper cites Qwen2.5 Technical Report.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Qwen2.5 Technical Report

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.907202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.907202Z digest=sha256:58d79563bd41e458ff9c89763d2ee8fa802ce346a36daaf05745ea3d915589f0

Observation d9646bae-5e91-49ad-8227-9886ec40772e · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:23.912289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.912289Z digest=sha256:6e6627b6110cae7a7f81f6a9ab2e19dcd8bc03308263744dee9751b2fd2dfae2

Observation 033a0d47-00a5-4de5-9426-7039a24b4a62 · outbound

This paper cites Attention calibration for disentangled text-to-image person- alization.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Attention calibration for disentangled text-to-image person- alization

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.696420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.917057Z digest=sha256:02f9561275102c9b1fadd6665827e6355e45019aacb0934055a37407f98fa858

Observation 635f2860-0812-4c1c-9cf5-4e07c077e922 · outbound

This paper cites Bilateral refer- ence for high-resolution dichotomous image segmentation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Bilateral refer- ence for high-resolution dichotomous image segmentation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.681645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.921926Z digest=sha256:618ce202d1d1246075814a354d405b7f5242429eae3545b23e26260afc6b8965

Observation b8723209-be79-491e-bf99-fcbac4af85bb · outbound

This paper cites Lumina-next: Making lumina-t2x stronger and faster with next-dit.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Lumina-next: Making lumina-t2x stronger and faster with next-dit

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.666045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.927442Z digest=sha256:b2a46f3955299cfa7b6103bb2afafceb04d3de5ddfb822777e3523b20ea275bf

Observation e4454de8-70f0-411e-8442-4dd4e33e3efa · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:42:24.633429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.938757Z digest=sha256:4f4cfc7e6ad89c9dc895cf8b1c9de17639e1ed6bee933990f86c05e8a8a64365

Observation 9e8d4547-bde2-4873-ab08-aac170698930 · outbound

This paper cites Designs for captions.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Designs for captions

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.616942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.944504Z digest=sha256:40e7e85ce3d041fedcc16fa0811b615a1a69bca4ef1d18b63f034ad15cc63fd2

Observation 12f16a05-45d0-4118-9e18-8072c558bc9e · outbound

This paper cites For IPA (Flux.1) implemen- tation, we use the third-party code from XLabs-AI.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers For IPA (Flux.1) implemen- tation, we use the third-party code from XLabs-AI

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.599823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.949561Z digest=sha256:30a3dd14673eb4cd722447b5cdd3965333af26ab9e9a1fc0f1271c55ae1a572d

Observation 2b72b42f-63d5-4932-aa11-abaa73ec66d9 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:42:24.583708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.954291Z digest=sha256:47dda08b2f1a6ac4c0d1a16d05e2afcf0bd3aff18045940bcbff33e75c808837

Observation c848ccfa-6e74-4f22-a663-48a630063513 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:42:24.567819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.958915Z digest=sha256:2453a59a12a13a407ef5184b8239e1a2d2dca1ca0457a4b1cf223716f5684281

Observation 5cf9cb28-27d1-4dd6-b2f0-8d709534e866 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:42:24.551902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.963891Z digest=sha256:7f61905f900a5241be06573ea5a13595c3d5f140a4a5355b73020040b8f97c4a

Observation ff036ab9-48b5-473c-a891-67080f49b28e · outbound

This paper cites Prompt for Detailed Subject Caption.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Prompt for Detailed Subject Caption

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:42:24.536381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.969556Z digest=sha256:12ea360e3185dffe0cdcf6b56c5003cb0b726b3dfca4d812abc4f4b74d5f0e62

Observation 0562e656-5da2-459c-9623-f1629e8e62e0 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:42:24.650059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:42:23.932642Z digest=sha256:282acb01b0f3a891dbd20b3a4f573a356ee450e81f1e9176a051af017ec76cc9

Pith citing papers

No inbound Pith citation observations are available.