Paper Citation Record · LEDGER

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 5 inbound Pith citation observations for arXiv:2509.01977.

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

pith.paper-citation-record.v1
2509.01977 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:04:29.002125Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:01:44.036386Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.230089Z

Reference resolution

36 of 36 outbound references displayed

verified exact4
verified fuzzy15
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation daaa6aa8-03b0-490c-a024-ab481802f322 · outbound

This paper cites Surf: Speeded up robust features.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Surf: Speeded up robust features

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.448072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9fd33aeb-613c-48d9-b8e6-543cfa57ce5f · outbound

This paper cites XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.875711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84d353c-a019-4af3-9317-aecd1dc37562 · outbound

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

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Arcface: Additive angular margin loss for deep face recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.437538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06a4d86f-c766-4db8-b418-a69bc61d9662 · outbound

This paper cites Aesthetic predictor v2.5: Siglip-based aesthetic score predictor.https://github.com/discus0434/ aesthetic-predictor-v2-5, 2024.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Aesthetic predictor v2.5: Siglip-based aesthetic score predictor.https://github.com/discus0434/ aesthetic-predictor-v2-5, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.427111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4870998-682f-400f-9de6-015e44e3e919 · outbound

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

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Scaling rectified flow transformers for high-resolution image synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.886960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 212cf80d-2a4a-4cfd-9060-4d1089b769b3 · outbound

This paper cites Proposal flow: Semantic correspondences from object proposals.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Proposal flow: Semantic correspondences from object proposals

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.411183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4398c039-fb14-4b72-b334-27e9081a27a6 · outbound

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

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Lora: Low-rank adaptation of large language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.895505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3649a87-bdab-4bbe-b64b-a37c6bae2479 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.898718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7234126f-f69d-41ad-bda2-9fb2ba0d7339 · outbound

This paper cites GPT-4o System Card.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement GPT-4o System Card

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.902170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3abfdb0-e0c8-4fab-bc2c-85d8310dc7b9 · outbound

This paper cites Adam: A method for stochastic optimization.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Adam: A method for stochastic optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.905552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4813cc-bd4e-4274-8a3f-77d01d34ce32 · outbound

This paper cites Segment anything.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Segment anything

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.908455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09eb9a9c-1812-468e-bfc2-06a733d6137b · outbound

This paper cites Flux-dev-1.0.https://github.com/black-forest-labs/flux, 2024.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Flux-dev-1.0.https://github.com/black-forest-labs/flux, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.381988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2768d2da-b35a-45f0-8684-542a8025b8a0 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.914683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a03a3e9e-964a-4058-8969-0b292543463c · outbound

This paper cites SFNet: Learning Object-aware Semantic Correspondence.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement SFNet: Learning Object-aware Semantic Correspondence

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:04:29.216206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22c743fb-8e2b-4aaf-b248-b7a74bad7374 · outbound

This paper cites Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:04:29.201821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85f4c5d4-215e-4754-a5c8-ea1a9b689111 · outbound

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

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.372198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3153d103-8670-4e22-b076-f12e87a1ce30 · outbound

This paper cites Distinctive image features from scale-invariant keypoints.IJCV, 60:91–110, 2004.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Distinctive image features from scale-invariant keypoints.IJCV, 60:91–110, 2004

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.361728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f932e42-047e-4b49-a9b5-2ea0e947ba73 · outbound

This paper cites RegionDrag: Fast Region-Based Image Editing with Diffusion Models.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement RegionDrag: Fast Region-Based Image Editing with Diffusion Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:04:29.186985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41c6200f-e38b-4ce0-9bcf-938bb0a9b3c9 · outbound

This paper cites Hyperpixel flow: Semantic correspondence with multi- layer neural features.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Hyperpixel flow: Semantic correspondence with multi- layer neural features

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.351316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3724f14d-8124-4701-92a2-9b4780eff1c5 · outbound

This paper cites Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915, 2025.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.943160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d5673c-7f3d-4043-ba2c-172b469bf35f · outbound

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

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement DINOv2: Learning Robust Visual Features without Supervision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.946533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0bf3da2-fa1a-412e-8de8-386d19c5ecea · outbound

This paper cites Learning transferable visual models from natural language supervision.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Learning transferable visual models from natural language supervision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.950021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7daa8a1a-8d23-4216-b790-79ffb4352d1f · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.953456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344aec03-832b-4951-9652-2b6d44ab9985 · outbound

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

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.334138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 16e0a129-4c1b-4ab0-b54e-b82b2d547bc0 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.960111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 108dddce-fc05-47e7-a328-7d5eac5598e0 · outbound

This paper cites Ominicontrol: Minimal and universal control for diffusion transformer.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Ominicontrol: Minimal and universal control for diffusion transformer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.317514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17473e51-6646-4202-a9be-59ec41fa3644 · outbound

This paper cites Emergent Correspondence from Image Diffusion.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Emergent Correspondence from Image Diffusion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.966971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40fd7d3-636b-49e6-b623-6f39653355f9 · outbound

This paper cites Ms-diffusion: Multi-subject zero-shot image personalization with layout guidance.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Ms-diffusion: Multi-subject zero-shot image personalization with layout guidance

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.306738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0cd68c83-9b9a-4dc1-8953-e73c63c7c53e · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.975261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf65f635-0651-44bb-b879-1c0684abc53a · outbound

This paper cites Less-to-more generalization: Unlocking more controllability by in-context generation.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Less-to-more generalization: Unlocking more controllability by in-context generation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.296772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f5b3eed3-6c6c-4296-9aba-b4cd0fa55133 · outbound

This paper cites AP-10K: A Benchmark for Animal Pose Estimation in the Wild.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.984470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5744d108-d99c-4434-812f-9d20f08ac9e1 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence,.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.286652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 478fb03f-7919-4278-9f12-c684d5b7e6a5 · outbound

This paper cites Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:04:29.037396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d7ef960-f152-4913-85d1-017841cc8aa6 · outbound

This paper cites Ssr-encoder: Encoding selective subject representation for subject-driven generation.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.276438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4560bd5-1fb8-46d5-95cf-b16bc72f3066 · outbound

This paper cites Ssr-encoder: Encoding selective subject representation for subject-driven generation.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement Ssr-encoder: Encoding selective subject representation for subject-driven generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:04:29.266259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 221c2033-7d97-4719-9121-72ccb69954ff · outbound

This paper cites A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence.

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T12:04:28.992387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cb8459a4-affe-40f4-bd89-82c25d4e7f7c · inbound

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation cites this paper.

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T05:01:44.036386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a069496-f67f-4e37-a17e-98b77a18a06a · inbound

Training-Free Image Editing with Visual Context Integration and Concept Alignment cites this paper.

Training-Free Image Editing with Visual Context Integration and Concept Alignment MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:05:47.773724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a877661-85a4-48b3-95ac-ed1300b863fb · inbound

Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision cites this paper.

Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:49.167329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 44f66d05-17c4-48fa-a85d-bca8989511a7 · inbound

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior cites this paper.

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:21:54.987881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d743213-786c-4366-905c-5d5e85aab1a9 · inbound

Scaling Multi-Reference Image Generation with Dynamic Reward Optimization cites this paper.

Scaling Multi-Reference Image Generation with Dynamic Reward Optimization MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.231683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.