Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2406.07209.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:32:32.342607Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 16e67ab2-97dc-4c69-83ca-d7536a8ad75a · inbound
LocRef-Diffusion:Tuning-Free Layout and Appearance-Guided Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bd4993e-dd9a-48fc-ab45-0499e4c12f62 · inbound
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07fd6cc7-b14b-4ecc-afa0-ed82f43fb338 · inbound
Controllable Human Image Generation with Personalized Multi-Garments MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630cb608-16f1-44db-b777-b835ebd84150 · inbound
PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 83
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca150fd3-3187-4dba-a3b2-6b5f1e1454b1 · inbound
Personalized Multimodal Large Language Models: A Survey MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 65
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bc0acfa-86de-4ee7-a5ef-6b40c029923b · inbound
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2f202ca-55c7-436d-ad5d-3d1d62dda530 · inbound
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5c9e2ff2-4851-4628-98ba-d9049b3e2f36 · inbound
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e6ed6cb-3327-4014-95a6-3b5ced9aa4e9 · inbound
TryOffAnyone: Tiled Cloth Generation from a Dressed Person MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c72c3d1-1274-4250-817f-e914161b1b8c · inbound
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 56
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 918fc634-a9f3-4d9c-9e37-1a8e8e529f79 · inbound
ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 61
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2edb817-dc78-4de9-b11b-ba4f2366217b · inbound
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 471aa53f-5e5b-4900-9b34-b71aad0147e2 · inbound
Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aa235487-63b2-43a4-ae93-ecce87215173 · inbound
BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d81d521-1b15-49d3-a362-31d62bcf6695 · inbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9fc5dca-64d6-4fd3-ac47-eb9cc2073c7c · inbound
Create Anything Anywhere: Layout-Controllable Personalized Diffusion Model for Multiple Subjects MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 450ed4af-5e58-40fc-8b51-702408054b51 · inbound
Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 59
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35f5ae99-6e02-40e4-bc21-64cd33791876 · inbound
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a75200a-4fdf-459b-8c8a-150a57d29d68 · inbound
FontAdapter: Instant Font Adaptation in Visual Text Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01d4ffab-c112-4897-a612-a5bcaabc56c8 · inbound
FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 961c9dc6-24ff-43a8-8f69-930a481a52df · inbound
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 62
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ae67de0-cdcb-48a3-91c3-d219d47017c6 · inbound
FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e93c7eb-55eb-448e-8970-9f027a610277 · inbound
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1af5e4c-63e2-45e3-bca6-ec8d16b5a907 · inbound
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3edebac2-ca7b-45fa-981c-ffb08a5d2651 · inbound
Animalbooth: multimodal feature enhancement for animal subject personalization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3c035540-f3ff-47d4-b4c3-b9d9e80a53da · inbound
PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7cc84ab5-5e7a-46de-a1ce-a5763b1880bd · inbound
LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d32c443f-6bb8-4682-9186-922de763ece1 · inbound
DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3b4d2939-9722-491b-a16d-372f81f77ff0 · inbound
DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 63
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a33e9608-d78b-4d90-85ee-624103db4a0c · inbound
ASTRA: Enhancing Multi-Subject Generation with Retrieval-Augmented Pose Guidance and Disentangled Position Embedding MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 524961f5-bf00-4db4-8037-e997ead0bfa9 · inbound
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c267c162-97ff-4d12-87a4-a4796848549b · inbound
MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e303529f-b4e6-4b23-83fe-9d02c1583eb9 · inbound
UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6ceb7e35-cca1-47b8-88cc-3309a06cbfd9 · inbound
A Comprehensive Ecosystem for Open-Domain Customized Video Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c14420b5-2fe6-4c09-8906-9aabacf9cc11 · inbound
Atomistic Language Models Understand and Generate Materials MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f1390630-648d-4d6c-b17d-f6e3e1daf51c · inbound
MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.