Paper Citation Record · LEDGER

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 7 inbound Pith citation observations for arXiv:2509.06818.

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

pith.paper-citation-record.v1
2509.06818 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:06:09.138816Z

measured 48 of 48 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:47:03.874746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.192540Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy7
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bb42d78-3ac3-4b41-95d1-3971164f7f5b · outbound

This paper cites Improving image generation with better captions.Computer Science.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Improving image generation with better captions.Computer Science

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.023163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5ccbde-ceb7-489c-80be-9d4cdb4d35f2 · outbound

This paper cites Training diffusion models with reinforcement learning.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Training diffusion models with reinforcement learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.026835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1718ae73-4146-4f05-b6c1-ffb29316b3db · outbound

This paper cites End-to-end object detection with transformers.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward End-to-end object detection with transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.494805Z

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.

Observation 65abac06-99d6-4a96-99e5-8bbec1b5019b · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.033237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e9867e-d57f-4ac7-bf4b-459c078fbebf · outbound

This paper cites UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.036965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c831902c-e129-4fd5-a795-d93b65da2481 · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Emerging Properties in Unified Multimodal Pretraining

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.040097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12133458-848c-4791-8327-74d54e51aaa0 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Scaling rectified flow transformers for high-resolution image synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.043501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6286da42-7eaf-4728-98e0-a52c43962975 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.046504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f352d55f-fe98-45ca-9c92-4c47774aa00d · outbound

This paper cites Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information processing systems, 37:36777–36804, 2024.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information processing systems, 37:36777–36804, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.049592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b98db35-c4d9-4430-8fc0-30e88357ab27 · outbound

This paper cites Denoising diffusion probabilistic models.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Denoising diffusion probabilistic models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.052869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5361965b-7b2c-4344-9075-c67647c21130 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.055389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b293daad-ff91-4de7-9806-ffa71b36f20f · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward In-Context LoRA for Diffusion Transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.058285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95dfd15b-75e6-4a61-a7ad-f62aa03724fb · outbound

This paper cites Realcustom: Narrowing real text word for real-time open-domain text-to-image customization.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Realcustom: Narrowing real text word for real-time open-domain text-to-image customization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.061323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641df5cb-16e5-4f72-b1ab-a54cd2f9fa0e · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Resolving multi-condition confusion for finetuning-free personalized image generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.450450Z

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.

Observation 94800da2-0f82-4007-b5e0-f1cc9a4d2891 · outbound

This paper cites The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2): 83–97, 1955.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward The hungarian method for the assignment problem.Naval research logistics quarterly, 2(1-2): 83–97, 1955

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.440372Z

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.

Observation 2a034d08-f13c-4c81-9e00-e5792f477f0a · outbound

This paper cites Flux: Official inference repository for flux.1 models, 2024.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Flux: Official inference repository for flux.1 models, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.429016Z

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.

Observation 7e226394-a749-4320-b3a0-9d8a23c70f46 · outbound

This paper cites Realcustom++: Representing images as real-word for real-time customization.arXiv preprint arXiv:2408.09744, 2024.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Realcustom++: Representing images as real-word for real-time customization.arXiv preprint arXiv:2408.09744, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.071731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26afccf9-4b73-4cbf-b94d-0ac6a2965846 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Dreamo: A unified framework for image customization.arXiv preprint arXiv:2504.16915, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.074483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d26079d3-f9d5-4ed8-9fbf-d59a939c5b37 · outbound

This paper cites Introducing gpt-4.1 in the api, 2025.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Introducing gpt-4.1 in the api, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.417831Z

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.

Observation 69bcd6c6-866c-4914-a8f7-32e9ccaaeee4 · outbound

This paper cites Training language models to follow instructions with human feedback.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Training language models to follow instructions with human feedback

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.080162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36cd3815-324e-4705-a20e-088d278cc7e6 · outbound

This paper cites Scalable diffusion models with transformers.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Scalable diffusion models with transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.083028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8fc27c-11e4-4ee8-9ee1-99be135d6113 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.085713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 931b262e-7efa-478f-8884-de43bff657ef · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Movie Gen: A Cast of Media Foundation Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.088428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95e369d-6562-4937-ba5a-6e389df70538 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward High-resolution image synthesis with latent diffusion models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.091259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 072bb970-dd9a-4cb6-b205-a2ca85c1a9e1 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.093917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dc78ab7-fb0a-43bd-a2e0-280f84241b76 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.096779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ce41981-4812-4cd1-b89b-0eee9f239940 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Diffusion model alignment using direct preference optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.099278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16e8e5ff-39dc-427e-b9ce-4e42749b3b49 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.102025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1af5e4c-63e2-45e3-bca6-ec8d16b5a907 · outbound

This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.

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 5858f1fe-5da0-436c-8821-c3abac382b09 · outbound

This paper cites Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.107593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5be15ec2-2c39-4bb6-ad8c-3a652241a015 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.110105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b1079e-987c-4055-8827-e5e0b9820761 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.112747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c6ba23-ccbb-4df0-aefc-c881ccd61ebc · outbound

This paper cites Omnigen: Unified image generation.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Omnigen: Unified image generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.115689Z

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Unavailable: canonical work link unavailable.

Observation 62ce7771-0f17-45a7-9d2e-f1e89915e9a3 · outbound

This paper cites OmniControl: Control Any Joint at Any Time for Human Motion Generation.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward OmniControl: Control Any Joint at Any Time for Human Motion Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.118576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acf5283-1bd3-4560-ba02-c833488962fe · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.121638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c78021-d30b-476e-b4c8-42f86399d1f1 · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward DanceGRPO: Unleashing GRPO on Visual Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.124619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a04c11-9483-436d-b96d-5ea58a5234c5 · outbound

This paper cites GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.127777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5c31ff-c6d3-44d2-8219-3010a432dbc1 · outbound

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

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.130481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5a39c72-7dd8-4120-80f1-1724756caa7c · outbound

This paper cites Openstory: A large-scale open-domain dataset for subject-driven visual storytelling.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Openstory: A large-scale open-domain dataset for subject-driven visual storytelling

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.344918Z

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.

Observation 27df826f-af33-4af3-83dd-4712351c8187 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T23:06:09.136031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9e7ac10-0b52-4b96-bd78-3571a39e0535 · outbound

This paper cites UXO Team.

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward UXO Team

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:06:09.333887Z

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.

Pith citing papers

Observation c491ff43-79cd-40bf-9599-455153a9b709 · inbound

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation cites this paper.

iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T06:47:03.874746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e42f994-a136-4e66-a044-aeac2ad86291 · inbound

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

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T05:01:41.850013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b20178-ce30-47d7-9a1e-a5e6594d7e3d · inbound

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation cites this paper.

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:02:23.962361Z

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.

Observation 433458d2-c72e-4a81-9044-3195a855a411 · inbound

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation cites this paper.

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:03:03.413078Z

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.

Observation b115e978-f589-445b-bd6d-5d0034f62953 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:14.874327Z

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.

Observation 94e83882-5ab2-49c1-a065-6d4a07dc09ec · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:59:50.448844Z

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.

Observation 2642bbd9-f34c-4338-a05e-ea57dd7fc408 · inbound

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

Scaling Multi-Reference Image Generation with Dynamic Reward Optimization UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.194247Z

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.