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Paper Citation Record · LEDGER

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 4 inbound Pith citation observations for arXiv:2505.23758.

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

pith.paper-citation-record.v1
2505.23758 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:24.635038Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:11:11.134337Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T02:36:27.251163Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef7d2e5d-3dd0-4f6c-9ba3-48c00d4851ad · outbound

This paper cites Realistic and efficient face swapping: A unified approach with diffusion models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Realistic and efficient face swapping: A unified approach with diffusion models

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be7b6b8f-9540-4364-9880-86d5085ffbb0 · outbound

This paper cites https://civitai.com, 2020.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers https://civitai.com, 2020

Reference 2

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 128036f1-c5fc-4676-be17-26793af5b0ab · outbound

This paper cites NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b382e04f-9e48-49aa-9bf0-418ef7988f4c · outbound

This paper cites LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors

Reference 4

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Source-reported events for the cited work

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Observation ec0850e9-a6ce-4f26-a96f-06d94fc77be7 · outbound

This paper cites Fluxs- pace: Disentangled semantic editing in rectified flow trans- formers, 2024.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Fluxs- pace: Disentangled semantic editing in rectified flow trans- formers, 2024

Reference 5

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 31ca85a5-0be6-4ea4-9a86-91939e7b1a1e · outbound

This paper cites Learn Once, Edit Anywhere: Visual Direction Transfer for Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Learn Once, Edit Anywhere: Visual Direction Transfer for Diffusion Models

Reference 6

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Observation a0e11579-b71d-4d2f-abc4-3e944c2db499 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Arcface: Additive angular margin loss for deep face recognition

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ff5f77b9-d41c-4185-a623-d3f44a484b3e · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 8

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Observation f2d9fec8-e81e-486b-a518-7abb4bbd04cf · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 9

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Observation 75fc67b8-8aea-4452-bea1-09e970ec339c · outbound

This paper cites Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Reference 10

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Observation 233f2121-ba18-4444-9534-6a742e222961 · outbound

This paper cites ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 11

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source=pdf_text observed=2026-08-07T12:41:21.200157Z digest=sha256:d033e8ceab7eb7b5e4ca0cbe251040d7b585ddd030f8bc8d562eb4ed32f44af5

Observation 771a2943-3a01-4639-a8a0-cc4ce69fa6bd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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Observation 3aff257f-44ac-4e88-b8d0-e7f188e6940e · outbound

This paper cites Resolving multi-condition confusion for finetuning-free personalized image generation.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Resolving multi-condition confusion for finetuning-free personalized image generation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1d5fb197-3628-4320-818d-27b497ea93ba · outbound

This paper cites GPT-4o System Card.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers GPT-4o System Card

Reference 14

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source=pdf_text observed=2026-08-07T12:41:21.523167Z digest=sha256:2a04aa08fe6dabb229de87bffebd64ce5faed044edbd741e1629391af0b2f9fe

Observation 0054f1d1-3690-4e8a-bee5-f924ccd29726 · outbound

This paper cites Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

Reference 15

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Observation 97adf157-fdac-4b85-8245-96f00987ec05 · outbound

This paper cites InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity

Reference 16

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Observation f8352d54-9c89-4cba-b5f3-30e591250a02 · outbound

This paper cites Explaining in Diffusion: Explaining a Classifier Through Hierarchical Semantics with Text-to-Image Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Explaining in Diffusion: Explaining a Classifier Through Hierarchical Semantics with Text-to-Image Diffusion Models

Reference 17

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local_arxiv, observed 2026-08-07T12:41:25.342317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 605f47db-ab50-486d-8943-098706447e41 · outbound

This paper cites OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models

Reference 18

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Observation 129420fd-7a7f-4365-b2f8-1bd9958c3e43 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Multi-concept customization of text-to-image diffusion

Reference 19

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source=pdf_text observed=2026-08-07T12:41:22.072822Z digest=sha256:a3d8d70ae09a26f8bb5cc2d1547e053d2e24a63ead13351690de865a9ab6b3bf

Observation 9eeee29e-55b5-46e3-ad58-49956338c744 · outbound

This paper cites Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation

Reference 20

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Observation c00e696e-11ab-4a7a-9549-5a5e038050de · outbound

This paper cites Conform: Contrast is all you need for high- fidelity text-to-image diffusion models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Conform: Contrast is all you need for high- fidelity text-to-image diffusion models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:22.266879Z digest=sha256:8b0111d6ed01e55820931056e5d3afc62db6950566a4850773c62b84a7dfa557

Observation c23adb97-0af1-456a-99e7-75e37ae13a53 · outbound

This paper cites MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models

Reference 22

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source=pdf_text observed=2026-08-07T12:41:22.391946Z digest=sha256:2053343472d8e4860b1dc9276471ac198785bfc705fcc883bd7dc9c0757b3bc6

Observation d06b1c56-38e1-4b8b-bfd2-e42f2e8b24c6 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers DINOv2: Learning Robust Visual Features without Supervision

Reference 23

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source=pdf_text observed=2026-08-07T12:41:22.451904Z digest=sha256:3a800a09e2926f11fea76bda77d7a4cca467ed98cdd7dc67adbfa178e0e5b5a9

Observation ed0e1ef6-69f8-49c4-8bc2-8e835097b8b9 · outbound

This paper cites Orthogonal adaptation for modular customization of diffusion models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Orthogonal adaptation for modular customization of diffusion models

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 75837303-bee8-40b1-991a-169cd6675fd6 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 25

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Observation 289a3501-0c04-467a-9748-fabc7e10da14 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Learning transferable visual models from natural language supervi- sion

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 83fb7542-30cc-49ad-9928-f2389f5c286e · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 27

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source=pdf_text observed=2026-08-07T12:41:22.812025Z digest=sha256:8e3e66f9000fec00ccb391accd498d0563a973a27ba431a51b4cc0cdc22f4cbe

Observation be5e0907-d99b-4587-92e6-8b0a34fca749 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers High-resolution image synthesis with latent diffusion models

Reference 28

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Observation ea7fc4a5-c819-43cd-8c14-fe34ed8ace94 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 29

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raw_fallback, observed 2026-08-07T12:41:26.959863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b2d7076c-b93d-453c-81c1-11eb904363ad · outbound

This paper cites Hyperdreambooth: Hypernetworks for 11 fast personalization of text-to-image models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Hyperdreambooth: Hypernetworks for 11 fast personalization of text-to-image models

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 70b836a4-d3d7-4eb0-a968-19b669aac2fa · outbound

This paper cites Low-rank adaptation for fast text-to-image diffu- sion fine-tuning, 2023.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Low-rank adaptation for fast text-to-image diffu- sion fine-tuning, 2023

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 55016fe5-0e82-4367-bc64-4b8a2a57ceec · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 32

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Observation ccf8e120-1031-4afc-ac4f-a759c1acc80d · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.arXiv preprint arXiv:2311.13600, 2023.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Ziplora: Any subject in any style by effectively merging loras.arXiv preprint arXiv:2311.13600, 2023

Reference 33

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source=pdf_text observed=2026-08-07T12:41:23.326826Z digest=sha256:0af253f45d756d5588356cfdabf6cd0598e1c62d8e5f586e3717e60668ecee31

Observation 3394f7ff-7e07-4a08-bf95-a8ed3aa0c403 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 34

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source=pdf_text observed=2026-08-07T12:41:23.401869Z digest=sha256:01f5b6129a68b879c11cefce1107c77f118e3b89dd1b1c2a8c746b00a9111a26

Observation 34313ae6-e9cd-4933-a612-14460788f2a9 · outbound

This paper cites Loraclr: Contrastive adaptation for customization of diffusion models, 2024.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Loraclr: Contrastive adaptation for customization of diffusion models, 2024

Reference 35

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raw_fallback, observed 2026-08-07T12:41:26.377238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:23.509526Z digest=sha256:28070fc832cd6dbbf69d5127b8a24158b547d1b811528fba86723942e7d3650f

Observation 9ea5e2bb-4684-4f64-bac7-e94c0e0b6bb0 · outbound

This paper cites StyleDrop: Text-to-Image Generation in Any Style.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers StyleDrop: Text-to-Image Generation in Any Style

Reference 36

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source=pdf_text observed=2026-08-07T12:41:23.599290Z digest=sha256:53e7663b1ff7fa5e0e0a38c8f3a7ee50eaaad9d0a3e739faf9e1621cce5939d4

Observation da6e3224-ce03-4387-8041-9dc418b44032 · outbound

This paper cites Context canvas: Enhancing text-to-image diffusion models with knowledge graph-based rag.arXiv preprint arXiv:2412.09614, 2024.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Context canvas: Enhancing text-to-image diffusion models with knowledge graph-based rag.arXiv preprint arXiv:2412.09614, 2024

Reference 37

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source=pdf_text observed=2026-08-07T12:41:23.692867Z digest=sha256:19f58137087fa7ce2b3b558bd638a5aa858d9480f2fb91fec19fbf26ebfd69bf

Observation 07202f86-bde7-41d6-9cc6-da1a56349a60 · outbound

This paper cites Crea: A collaborative multi-agent framework for creative content generation with diffusion models.arXiv preprint arXiv:2504.05306, 2025.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Crea: A collaborative multi-agent framework for creative content generation with diffusion models.arXiv preprint arXiv:2504.05306, 2025

Reference 38

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no resolver link, observed 2026-08-07T12:41:23.771638Z

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source=pdf_text observed=2026-08-07T12:41:23.771638Z digest=sha256:f6ca3b32a65c97029cc117f355a2e94462c31524f0ff9397cca3319d9586823a

Observation 0c1b5a22-7303-4e4b-adb5-ec690f3cec0f · outbound

This paper cites Diffusers: State-of-the-art diffu- sion models.https://github.com/huggingface/ diffusers, 2022.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Diffusers: State-of-the-art diffu- sion models.https://github.com/huggingface/ diffusers, 2022

Reference 39

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no resolver link, observed 2026-08-07T12:41:23.864337Z

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source=pdf_text observed=2026-08-07T12:41:23.864337Z digest=sha256:babe3ae776a58328ecddbda002753b32b456a586674771fb459c82868d02d618

Observation e2f49165-9736-471d-bc14-6a8581076ea9 · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 40

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no resolver link, observed 2026-08-07T12:41:23.932470Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:41:23.932470Z digest=sha256:3ff919883cee01853e78252646b0e50082e0ef21eac1c67db138860f0fa9dc84

Observation 6c6a6132-fad0-4277-8994-ba6416f70ebb · outbound

This paper cites Taming Rectified Flow for Inversion and Editing.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Taming Rectified Flow for Inversion and Editing

Reference 41

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no resolver link, observed 2026-08-07T12:41:23.994647Z

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source=pdf_text observed=2026-08-07T12:41:23.994647Z digest=sha256:68de3a4a6bd2f8487a3cdb9b22bb19af20c1afa18ff261ec111326a08682a417

Observation 794e7973-0702-48dc-9733-4ea10ea84821 · outbound

This paper cites MS-diffusion: Multi-subject zero-shot image per- sonalization with layout guidance.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers MS-diffusion: Multi-subject zero-shot image per- sonalization with layout guidance

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T12:41:26.185705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:24.100095Z digest=sha256:f8d2bef7203011da7ee3ecf5b12edb9886fbbcadeb922ed38713d09e7d3d863e

Observation cc34760f-04e2-40e4-8373-2730428d775e · outbound

This paper cites Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 43

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unresolved
no resolver link, observed 2026-08-07T12:41:24.209707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:24.209707Z digest=sha256:7ea4b6bdc891c0e5f942fe218a5d8512b1363f568f136f2cd5d19e24c4b764a3

Observation 02d190a5-b2c6-4325-b024-aaac6a28430c · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 44

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no resolver link, observed 2026-08-07T12:41:24.310988Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:41:24.310988Z digest=sha256:bea90f6c0e8cb7abe48e3bca6811859d71314d8f3f21dfec2be077cfbc5e384e

Observation 2dc2198f-3265-4397-a0ee-5c9dafe2e83f · outbound

This paper cites OmniGen: Unified Image Generation.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers OmniGen: Unified Image Generation

Reference 45

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no resolver link, observed 2026-08-07T12:41:24.405058Z

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source=pdf_text observed=2026-08-07T12:41:24.405058Z digest=sha256:1f8b52954e2cb4dced7f5aaf9b44e7d9a580684274d847e009c7df378dbbc1a5

Observation 3031b45d-454f-4fbd-8436-a810b790a648 · outbound

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

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 46

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unresolved
no resolver link, observed 2026-08-07T12:41:24.524657Z

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source=pdf_text observed=2026-08-07T12:41:24.524657Z digest=sha256:be5fd0a44561f7c3616b7bc261934970df75ee626b3915600ee0d350a9f1980c

Observation 0ef84612-7b0d-4858-ab49-2a8f870e9ed4 · outbound

This paper cites MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models

Reference 47

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no resolver link, observed 2026-08-07T12:41:24.564726Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:41:24.564726Z digest=sha256:ee92a636f883b9dd3a1ed56762fe542bcaca85983d6d3dc3da5adc06881de8f7

Observation c7601751-aac9-4b5f-9c17-5357a50bcb95 · outbound

This paper cites The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP

Reference 48

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verified exact
local_arxiv, observed 2026-08-07T12:41:24.727990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:24.579019Z digest=sha256:ea6c54d45e7788f9c5db502364858c4412923a37d8bd801ae39507a30960a8d7

Observation ef0435f7-5a6b-4e71-ac8b-3766f0b85588 · outbound

This paper cites MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:41:24.592141Z digest=sha256:64fac6be34a15f183f20f50e628e3298288def7c2f0cb35b53c43f6ba52c3122

Observation 09aaa3f2-e6ef-49c5-9452-78c5d8f90e51 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers The unreasonable effectiveness of deep features as a perceptual metric

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-07T12:41:26.047188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:24.603833Z digest=sha256:cf547c063b51c21bfb1bd6037fceced032a047ed79ac9a1872cd023cfb8c191d

Observation edde8c04-b300-467b-a191-009272b9f779 · outbound

This paper cites Style- breeder: Exploring and democratizing artistic styles through text-to-image models.Advances in Neural Information Pro- cessing Systems, 37:34098–34122, 2024.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Style- breeder: Exploring and democratizing artistic styles through text-to-image models.Advances in Neural Information Pro- cessing Systems, 37:34098–34122, 2024

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T12:41:25.859813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:24.617933Z digest=sha256:ac47893c526ca0f49039d7a4152f2d255f3ba0dd8d87472f3541ca46f257d55b

Observation 2cd943cb-4a2e-462b-9de2-52adc27b9110 · outbound

This paper cites woman) and different type of entities (e.g.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers woman) and different type of entities (e.g

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-07T12:41:25.735746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:41:24.635038Z digest=sha256:0a1939fc1002952306848331d0bc20caf116ad9e489b686db7073eaae3835003

Pith citing papers

Observation 95e6ef73-23e5-4691-96f3-42f142360568 · inbound

PureCC: Pure Learning for Text-to-Image Concept Customization cites this paper.

PureCC: Pure Learning for Text-to-Image Concept Customization LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers

Reference 7

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verified exact
arxiv_id, observed 2026-05-21T11:10:02.097606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T11:09:15.512162Z digest=sha256:0db39c32428d3fadc09b6da016cba92aa5ea905074a70cbaa90407160a640207

Observation fefdbd92-8edc-4c74-be29-ef865087246d · inbound

Closed-Form Concept Erasure via Double Projections cites this paper.

Closed-Form Concept Erasure via Double Projections LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers

Reference 18

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arxiv_id, observed 2026-05-11T08:16:00.801486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T16:44:57.265729Z digest=sha256:bdd1d3dbf2821dea82566cfd75c8990b6be61c13c4028c7d378fa5c2927cb4bc

Observation a892c250-5fb0-461c-a960-e4f2d3c60fe1 · inbound

DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution cites this paper.

DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-Resolution LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers

Reference 9

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verified exact
arxiv_id, observed 2026-06-29T08:13:14.797575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T08:11:11.134337Z digest=sha256:5bb5fff34c93c7921b257d312fcbb36a157a7b21b25124544e676c4a4c4d91c1

Observation c6c4f23c-ad29-47cb-8338-e6cebc4a3c66 · inbound

Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting cites this paper.

Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers

Reference 10

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verified exact
arxiv_id, observed 2026-07-02T02:36:27.252872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T10:47:33.349484Z digest=sha256:d7970f9417ce5cc31277a18430db81ccc662c4892b5634bf1ece9c5cebf62f19