Paper Citation Record · LEDGER

MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2406.07209.

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

pith.paper-citation-record.v1
2406.07209 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:36.838755Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f2f202ca-55c7-436d-ad5d-3d1d62dda530 · inbound

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T08:02:43.066441Z

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.

Observation a2edb817-dc78-4de9-b11b-ba4f2366217b · inbound

FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:11:54.549732Z

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.

Observation 471aa53f-5e5b-4900-9b34-b71aad0147e2 · inbound

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute cites this paper.

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T17:51:54.324109Z

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.

Observation 3d81d521-1b15-49d3-a362-31d62bcf6695 · inbound

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:36.838755Z

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 cites this paper.

Create Anything Anywhere: Layout-Controllable Personalized Diffusion Model for Multiple Subjects MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:34.780116Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:51.605547Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:28.265120Z

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 cites this paper.

FontAdapter: Instant Font Adaptation in Visual Text Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:26.877834Z

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 cites this paper.

FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:25.145387Z

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 cites this paper.

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.

Observation 8ae67de0-cdcb-48a3-91c3-d219d47017c6 · inbound

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy cites this paper.

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T18:37:22.326432Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T17:42:59.002057Z

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 cites this paper.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.104752Z

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 cites this paper.

Animalbooth: multimodal feature enhancement for animal subject personalization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T15:11:32.545104Z

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.

Observation 3c035540-f3ff-47d4-b4c3-b9d9e80a53da · inbound

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T03:51:29.447762Z

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.

Observation 7cc84ab5-5e7a-46de-a1ce-a5763b1880bd · inbound

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization cites this paper.

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T16:08:04.470931Z

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.

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:20:09.088674Z

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.

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 cites this paper.

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-15T12:51:20.969593Z

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 cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T14:10:29.263978Z

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.

Observation 524961f5-bf00-4db4-8037-e997ead0bfa9 · inbound

EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:22.391492Z

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.

Observation c267c162-97ff-4d12-87a4-a4796848549b · inbound

MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:33:50.277158Z

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.

Observation e303529f-b4e6-4b23-83fe-9d02c1583eb9 · inbound

UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization cites this paper.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:26:00.744974Z

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.

Observation 6ceb7e35-cca1-47b8-88cc-3309a06cbfd9 · inbound

A Comprehensive Ecosystem for Open-Domain Customized Video Generation cites this paper.

A Comprehensive Ecosystem for Open-Domain Customized Video Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:17:57.913110Z

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.

Observation c14420b5-2fe6-4c09-8906-9aabacf9cc11 · inbound

Atomistic Language Models Understand and Generate Materials cites this paper.

Atomistic Language Models Understand and Generate Materials MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:09:36.519416Z

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.

Observation f1390630-648d-4d6c-b17d-f6e3e1daf51c · inbound

MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation cites this paper.

MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:08:57.526105Z

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.