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Paper Citation Record · LEDGER

Cached Multi-Lora Composition for Multi-Concept Image Generation

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2502.04923.

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

pith.paper-citation-record.v1
2502.04923 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:03:24.196439Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:13.613771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:36:05.866441Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20cd5029-2174-4318-becd-dd0497cea0c4 · outbound

This paper cites One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

Cached Multi-Lora Composition for Multi-Concept Image Generation One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Reference 1

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no resolver link, observed 2026-08-08T21:03:23.581088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.581088Z digest=sha256:ae34d987be5c58cd3cae7a2234af837f64c72a93001e056897ab149b90e1a0fe

Observation fb8170dc-8fdd-433b-bf5d-18d0d3472213 · outbound

This paper cites LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs.

Cached Multi-Lora Composition for Multi-Concept Image Generation LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs

Reference 2

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unresolved
no resolver link, observed 2026-08-08T21:03:23.601223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.601223Z digest=sha256:461b63bcf3132c736706bac9a98f1a9b742d3492ccf8db45532c02845377fd98

Observation 456fa52c-3363-4adc-86ea-cd73bcd2ce3c · outbound

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

Cached Multi-Lora Composition for Multi-Concept Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 3

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unresolved
no resolver link, observed 2026-08-08T21:03:23.606425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.606425Z digest=sha256:4c07967cc8c0c6085e4dcbd557f396f0f496e1e05a742bc006f3b774644423ae

Observation 93a9882c-3d39-4094-ad58-28e6c5a3fd0e · outbound

This paper cites Leveraging frequency analysis for deep fake image recognition.

Cached Multi-Lora Composition for Multi-Concept Image Generation Leveraging frequency analysis for deep fake image recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.292932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.611027Z digest=sha256:f6cb23f789523100184685122f2610dc720f0736f6dc083d016f233ab4545b26

Observation 64cde2e2-49af-4cb3-9f2a-7d0a9de71ac5 · outbound

This paper cites Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

Cached Multi-Lora Composition for Multi-Concept Image Generation Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 5

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unresolved
no resolver link, observed 2026-08-08T21:03:23.615737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.615737Z digest=sha256:151ef91e72662797a386dae4759d421bb7fb4d3282d2cf463df67b5398da80cb

Observation a75b4dde-aaf2-434a-81b2-8a99d290746a · outbound

This paper cites Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models.

Cached Multi-Lora Composition for Multi-Concept Image Generation Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.277691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.620641Z digest=sha256:cffc4b7ca61f11f41725fac4f986d79e3ad0b4a9557c61d4ce7830d8d4af3bb1

Observation cc1cf290-a9f7-489a-988b-cec3226d64d8 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Cached Multi-Lora Composition for Multi-Concept Image Generation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 7

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no resolver link, observed 2026-08-08T21:03:23.625311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.625311Z digest=sha256:db686f0750b3985b7a2e8110e33accf6be1ed8496dc3a25c761fc5048bd62810

Observation dc0e6de0-a2ed-415b-a84d-f4f304e97767 · outbound

This paper cites Denoising diffusion probabilistic models.

Cached Multi-Lora Composition for Multi-Concept Image Generation Denoising diffusion probabilistic models

Reference 8

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unresolved
no resolver link, observed 2026-08-08T21:03:23.642774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.642774Z digest=sha256:41588d0e958e3ff7a23fc7758ee9632cc8e3cdbffc06529d451fe8b350ae1100

Observation 73c763b9-7910-49df-951e-5684a4b2e4df · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Cached Multi-Lora Composition for Multi-Concept Image Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.667834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.667834Z digest=sha256:597793e4f333c240cdfe928b75a655e14d9485c27248231b976df3d4d37b1207

Observation 9b270e29-5965-4e10-b6ae-5931e57cdfa2 · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

Cached Multi-Lora Composition for Multi-Concept Image Generation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 10

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unresolved
no resolver link, observed 2026-08-08T21:03:23.697544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.697544Z digest=sha256:aeb1d5893e2f68095fd5cca147b012d46d3f5471602868bd4b29316ddd6d3acb

Observation 38b38110-62b5-4fb8-8f26-4b7383c2cba1 · outbound

This paper cites Merging loras with diffusers.

Cached Multi-Lora Composition for Multi-Concept Image Generation Merging loras with diffusers

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.253064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.730537Z digest=sha256:7fb3a70d349f7985f2969b7feb8b0a28a00db67f6383eac75d11c5c9606af77d

Observation 99abc064-fa17-4c27-a0ff-2c4f9dfad076 · outbound

This paper cites MC$^2$: Multi-concept Guidance for Customized Multi-concept Generation.

Cached Multi-Lora Composition for Multi-Concept Image Generation MC$^2$: Multi-concept Guidance for Customized Multi-concept Generation

Reference 12

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unresolved
no resolver link, observed 2026-08-08T21:03:23.766572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.766572Z digest=sha256:80297b8ae47e89ab340c4b128e9573856e15f29209107657d44318682cdcddc6

Observation b83b5a0b-6d8c-4313-8546-e65b43bac856 · outbound

This paper cites LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design.

Cached Multi-Lora Composition for Multi-Concept Image Generation LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.796687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.796687Z digest=sha256:deae2b9b5023f2d5680ddbaced3bb6ffc2089f2f29c92abfe14195d508b07b9f

Observation 15dbb24b-8a3c-44a7-b9f1-e4eea37100ee · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

Cached Multi-Lora Composition for Multi-Concept Image Generation Multi-concept customization of text-to-image diffusion

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.238508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.823632Z digest=sha256:7b699cdc4c8a9bb7b49e54cd8a6aa8bd418ee4d852c6f466beb7c76cea94c50c

Observation c181f30b-28b1-45ee-ba1d-f57710af6082 · outbound

This paper cites Concept weaver: Enabling multi-concept fusion in text-to-image models.

Cached Multi-Lora Composition for Multi-Concept Image Generation Concept weaver: Enabling multi-concept fusion in text-to-image models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.218684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.843862Z digest=sha256:fe3028a252cc9490c3e380078fcb1c37eb6bb14240d840d93c4d874b3264ac7f

Observation e26a68f2-e192-4b6a-b8dd-aca71aedfff6 · outbound

This paper cites Instruction tuning large language models for multimodal relation extraction using lora.

Cached Multi-Lora Composition for Multi-Concept Image Generation Instruction tuning large language models for multimodal relation extraction using lora

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.186331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.853947Z digest=sha256:639263fc88dc4c9dc3f3b3397ed3ea4aa8bef2d9d494bce579440ebaa63d45ec

Observation 79a5681e-d375-4166-89f3-83d23e1f88b5 · outbound

This paper cites Non-confusing Generation of Customized Concepts in Diffusion Models.

Cached Multi-Lora Composition for Multi-Concept Image Generation Non-confusing Generation of Customized Concepts in Diffusion Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.863202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.863202Z digest=sha256:dc7df92e619db4421e91fc67ac7c777644f6ae4cb868c014666c34476cf3cbe9

Observation 60b2b9f9-a8a9-4a9f-b1b9-489b1bac72b5 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Cached Multi-Lora Composition for Multi-Concept Image Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.883999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.883999Z digest=sha256:1c6da3f7014d9f993b9a2090557c196d6a18e4871afd1bf7610c7d89f95fcdaa

Observation 339dc27b-f8f2-452d-9b2f-34fe9621e66d · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

Cached Multi-Lora Composition for Multi-Concept Image Generation Deepcache: Accelerating diffusion models for free

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.152527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.900948Z digest=sha256:2a6dacda7f6e762a7ca2a390ff685bc852a648e5f0d6fd4e394c6f7df1082172

Observation e45b55a9-b597-46cf-9ff2-c9fe2cfc5e61 · outbound

This paper cites GPT-4 Technical Report.

Cached Multi-Lora Composition for Multi-Concept Image Generation GPT-4 Technical Report

Reference 20

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no resolver link, observed 2026-08-08T21:03:23.911225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.911225Z digest=sha256:e15224d7646be5d013871997d52daf359b91c07defe07dedd7eadd43caeebaa9

Observation b696954e-915f-430a-af4a-7d60aac81475 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Cached Multi-Lora Composition for Multi-Concept Image Generation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.924244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.924244Z digest=sha256:7b328f8af4c12ca9b8b457e5e342203b89d001d0cd9026a9812f3fad9bd206b2

Observation e142fa03-8b51-4233-a715-5176945775d0 · outbound

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

Cached Multi-Lora Composition for Multi-Concept Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.945462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.945462Z digest=sha256:e9006674bd736c52f73a8c73a6cd6f357bf95acfa6de3647622d66aa9da66bab

Observation 54b2e3a5-48dc-48d3-af55-72f71a82961b · outbound

This paper cites Zero-shot text-to-image generation.

Cached Multi-Lora Composition for Multi-Concept Image Generation Zero-shot text-to-image generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.963758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.963758Z digest=sha256:427e50318f8a3f62dd30afaa7c8c9e27125b449dae53040aa96b72b0977b0517

Observation ed9afb59-5d42-4562-a6e0-3b4500d83028 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Cached Multi-Lora Composition for Multi-Concept Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.967606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.967606Z digest=sha256:946acacb10b59e66b8889475ed7228316befa78c5718a347430bdabaab74273d

Observation 778bdc7a-c579-4919-979e-fc94425e59d6 · outbound

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

Cached Multi-Lora Composition for Multi-Concept Image Generation High-resolution image synthesis with latent diffusion models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.971726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.971726Z digest=sha256:ff3c0a5773a3aabaece32db6dfd7cac24e74639ece9fd36550fdac9d1e8e9ee4

Observation f96cfb9e-c904-4feb-a852-c1a868f31d66 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Cached Multi-Lora Composition for Multi-Concept Image Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.975693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.975693Z digest=sha256:ff809300ce8a35d02bd4981170281040ad37d7b2169f5a319f4596c77434dd26

Observation a1edc82e-f1f3-4d04-8302-9d153c90a849 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

Cached Multi-Lora Composition for Multi-Concept Image Generation Ziplora: Any subject in any style by effectively merging loras

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.980028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.980028Z digest=sha256:598a44e4b7e03cfa1af87211902b184480c276c4dd0bca148f27b2294b1436bd

Observation 7523337a-0aa3-4458-88e3-28636a1033c5 · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

Cached Multi-Lora Composition for Multi-Concept Image Generation Freeu: Free lunch in diffusion u-net

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.098608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.987578Z digest=sha256:3befbd8d5a8fbb03a9f352e1dea0c286b66be2ebb358a480f820b1d1ccd5d797

Observation ab2f0e8a-e434-43d4-8ea4-96f93afeae94 · outbound

This paper cites Denoising Diffusion Implicit Models.

Cached Multi-Lora Composition for Multi-Concept Image Generation Denoising Diffusion Implicit Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:23.999238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.999238Z digest=sha256:49410d2ccc0d7bf39ba3d89544a85ffd069c732792f5d1ca0fc84b307242f3b0

Observation f07233a0-5f05-4db4-a0fe-44d933da13c5 · outbound

This paper cites Diffusers: State-of-the-art diffusion models.

Cached Multi-Lora Composition for Multi-Concept Image Generation Diffusers: State-of-the-art diffusion models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:24.007702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.007702Z digest=sha256:17f0c825ab7c750504e3e43826226303d81710b73bbe8209cada673ea41bcda3

Observation 4f5820ec-d4aa-4948-9b2a-36256ea2eb20 · outbound

This paper cites Fastcomposer: Tuning-free multi-subject image generation with localized attention.

Cached Multi-Lora Composition for Multi-Concept Image Generation Fastcomposer: Tuning-free multi-subject image generation with localized attention

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:25.039738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:24.011701Z digest=sha256:ef32eab0977c8c571a96ec0eb659306ab4c9e64644478b1727113391311a948b

Observation 5e533c71-cb8b-44ea-a8a9-5be80b27b81b · outbound

This paper cites ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

Cached Multi-Lora Composition for Multi-Concept Image Generation ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:24.015825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.015825Z digest=sha256:2aaf654630d7dcf5bcb84c3d89f27974f87711a9cb3d28a8f06df5355f15e07c

Observation 33a0f868-e524-476d-b2e8-3253ec950b0e · outbound

This paper cites LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.

Cached Multi-Lora Composition for Multi-Concept Image Generation LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:24.020627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.020627Z digest=sha256:3eff6cb0af7999dfa804f7f344b783355da9c004b89c8c900c1689eff3d30543

Observation 38ceff0b-3cfd-44d6-aeea-3705bf2faee9 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Cached Multi-Lora Composition for Multi-Concept Image Generation The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:24.025085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.025085Z digest=sha256:0b6fe50ed44350d0761952e97143584e0952f588788ec7e58e5bb778dbb74974

Observation 05bd489a-113c-4044-a4e5-e7baa155387c · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Cached Multi-Lora Composition for Multi-Concept Image Generation MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 35

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unresolved
no resolver link, observed 2026-08-08T21:03:24.029731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.029731Z digest=sha256:98bcd6fe87031df1dc1a626487f00843abfa0934bb804982ec50d0003d3491c0

Observation a4690506-201f-47fb-8339-b1a4c1fc91fa · outbound

This paper cites Composing parameter-efficient modules with arithmetic operation.

Cached Multi-Lora Composition for Multi-Concept Image Generation Composing parameter-efficient modules with arithmetic operation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:03:24.991949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 612959a0-704f-423c-9923-f9bc51e5fe71 · outbound

This paper cites Multi-LoRA Composition for Image Generation.

Cached Multi-Lora Composition for Multi-Concept Image Generation Multi-LoRA Composition for Image Generation

Reference 37

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unresolved
no resolver link, observed 2026-08-08T21:03:24.064992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.064992Z digest=sha256:a68b064b6511b28d4cf66fb538fe21aa4b69fccc35a39223942aa9ce78113498

Observation 02b90d3f-83e3-43b0-a195-4e60b3364814 · outbound

This paper cites write newline.

Cached Multi-Lora Composition for Multi-Concept Image Generation write newline

Reference 38

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unresolved
no resolver link, observed 2026-08-08T21:03:24.096490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.096490Z digest=sha256:67c7f3e1b110ca06156f3394ed77fc3f8927914b304918335447280a29992f03

Observation fe1dcd2f-b809-4ed6-bf72-6fa639dc1654 · outbound

This paper cites @esa (Ref.

Cached Multi-Lora Composition for Multi-Concept Image Generation @esa (Ref

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:24.136638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.136638Z digest=sha256:cfa0f86400e5faf3414d627c4cd1f2abf39842a657d09ab5dbb8b599c1a97551

Observation 105d53ec-539c-49a4-9a1d-1b1d2f664425 · outbound

This paper cites an unresolved cited work.

Cached Multi-Lora Composition for Multi-Concept Image Generation Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T21:03:24.162329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.162329Z digest=sha256:70771903ce7a85b8c8b1783793426ed630f82a4cc29ad208fba3ec0249f7b2af

Observation 56f4118d-c94f-4a7c-a5b1-7428a7967bd8 · outbound

This paper cites an unresolved cited work.

Cached Multi-Lora Composition for Multi-Concept Image Generation Unresolved cited work

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-08T21:03:24.451224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-08T21:03:24.196439Z digest=sha256:c5773ab1cfaaeb143b06a265be281bbc1db541116b041ec503120475211b2216

Pith citing papers

Observation 88c57f29-b007-426b-8e32-74214e1b7a0f · inbound

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance cites this paper.

MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance Cached Multi-Lora Composition for Multi-Concept Image Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:13.613771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:58:13.613771Z digest=sha256:b0594ea205b3bd323326dda4e3926cbf789ccc1f5244d4d6cee57d2df0d819e7

Observation 6aa38fa3-4503-4c9d-835c-13486607a932 · inbound

Semantic-guided LoRA Parameters Generation cites this paper.

Semantic-guided LoRA Parameters Generation Cached Multi-Lora Composition for Multi-Concept Image Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T05:37:07.368728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:37:07.368728Z digest=sha256:91c83b86c5f96a7d76d9f117c46481566e878de4cbf3fbf55c1d9f2e21a65ec9

Observation 2a55675a-0efe-443d-946a-d6aadc07b40a · inbound

FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer cites this paper.

FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer Cached Multi-Lora Composition for Multi-Concept Image Generation

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:05.938905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:55:16.158145Z digest=sha256:873f66355db148da89164f70bf2e6aeb690b2dd206a9f0311c9c6590f014a8c7