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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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local_arxiv, observed 2026-08-07T12:41:25.627527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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=pdf_text observed=2026-08-07T12:41:20.583602Z digest=sha256:f472c2acc8280944d1c051d4651569a405c6b7a8759899ba8859ee99aa41746c

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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source=pdf_text observed=2026-08-07T12:41:20.955250Z digest=sha256:57092e7e7932e8571961f563ff0bac91602e0fa30870226ada0cdf7caf61a810

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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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 2026-08-08T06:32:00.761636+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:afc105e56c9359a21307598836f5793437dbcb2578e26b8911cee8e25349b63e

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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source=pdf_text observed=2026-08-07T12:41:21.944497Z digest=sha256:0aa66409c87be5460f824a09b3aee92b84b86b9f5b05a1a2012a800a3dadfaf2

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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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 2026-08-08T06:32:00.761636+00:00.

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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=sha256:70937a8e12338d705079af3027bf99674fbe1681a538541b20ea099a80640b0b

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=sha256:8c06c8fe63419c97b6efce9144e940ff8524f87d6d7cd32ad48fb69de0f48964

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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:f0c3a8aff5e66bc5695faa86814958e207430f1ab5bc12fcac729a8cc52ffd3f

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 2026-08-08T06:32:00.761636+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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raw_fallback, observed 2026-08-07T12:41:26.761056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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source=pdf_text observed=2026-08-07T12:41:23.268213Z digest=sha256:c47a45d32e00bb0dd637ba4f4e5c77b82f5e10d02f1254a668d6535e30daef5d

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=sha256:459ecec105f47500ef90edef5b667addf0a280dafbe336c44e8ca6a185ee690f

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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no resolver link, observed 2026-08-07T12:41:23.401869Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:23.401869Z digest=sha256:1a73df57d5247b6c41ce6c275ee789d8b3ae08b250abfc24a7c699b44d1fc00d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:41:23.509526Z digest=sha256:62a0342fa9ca88fa8aa39f683fbfaa386d206dc289f535b2799211be8e0a20ad

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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no resolver link, observed 2026-08-07T12:41:23.599290Z

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source=pdf_text observed=2026-08-07T12:41:23.599290Z digest=sha256:bb82fc886604c89d73efa0a53311678890936e207cc56f045affe8e84a64567e

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=sha256:87abc0e5ea79f62fe243e14306933cf8c6236ef342a76f075efed4d3c0ebb203

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:f1b690046a91e18401c1a0d8a6292b2c955ca2845277a59206cfdf3f8d436892

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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source=pdf_text observed=2026-08-07T12:41:23.864337Z digest=sha256:d3fe960c96deab4ad44844c58c9c4b7f1417487dcee08a9053074097dde8aa48

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:a06dd5e5535a6e7cb231c96b6eab86e4e0f8c4428e4df490983e7efaf813f5aa

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=sha256:0ca4f5fd6bc6ef59c739ab731a94ccbe1496736dbc1323ed85f629624d614027

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:41:24.100095Z digest=sha256:1a1d2de9698ff629160b1207c5f574d8f6dd0d563e2690a9678702ac56fad6e4

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

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source=pdf_text observed=2026-08-07T12:41:24.209707Z digest=sha256:3193a87c8c5721abab8b195cadf4655193e123d875a20d3cda716b3a3c016b0a

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

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source=pdf_text observed=2026-08-07T12:41:24.310988Z digest=sha256:778c1215a4408fabbff0d5537588c2717d284391f3b526038ec57c70af6f44b6

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=sha256:9f8098b75366b51d766c90b83960ecc72ea2404fd7078c2374df0cf5d075a164

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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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=sha256:1430b806117e697b3e1207a2039d6b32c2795dabd67619fb7607ef9844c1f20b

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

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source=pdf_text observed=2026-08-07T12:41:24.564726Z digest=sha256:20fb9c1e46ddc2f0ac249607e7ffc21f8ecf6c10804e76a9bdc1b75d215cb8f6

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:41:24.579019Z digest=sha256:7dc5ff9c56a9a15b3569ae3a055f1111e5d5b2b113f2e31b53208212f3d8e896

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=pdf_text observed=2026-08-07T12:41:24.592141Z digest=sha256:81cec7835d933e82a534ed45f7e0ed00258a038e807dfa4ef268b3195205b57f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:41:24.603833Z digest=sha256:f0b412568032cf37526d990b270675a99958135d1902321cf98957ee8a4f42c0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:41:24.617933Z digest=sha256:0107ecc2b7eeaea3bc72f2ef4ac4264f55615f86d7a1a95732d5f5d5a71e1e7a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:41:24.635038Z digest=sha256:f115e93b76b0508a9e7ec6a317ca8deed7a12ecc61e6f4c7d70e48227465ab03

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T11:09:15.512162Z digest=sha256:d1e0343f24e79dacdde4ecc271a7884f85ee5ea5f30eaa2ec68b049c1b4ed976

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:44:57.265729Z digest=sha256:92034bb1378bc443046ab99981c0d3518846d46686ff7ad22d04e933a5156d24

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T08:11:11.134337Z digest=sha256:baf3ca407405c23b77aa7f20357e497d9e072b6aa67663e71225576253b6dc8e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T10:47:33.349484Z digest=sha256:b0bb3370e2f033bd54203c4b2deb477b564474232392c1ca2e7745ddbf2d6c38