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Paper Citation Record · LEDGER

Cached Multi-Lora Composition for Multi-Concept Image Generation

As of 21 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 2026-08-21T06:32:19.484+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.581088Z digest=sha256:09d2be7a78b39b4bdbc69622ed2b68f4bf3c9796f257351ac62f7db42da9c443

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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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=sha256:4210c5777650f658f6c24e5c0a496cd3dc5a86fcc531e20686f5b0df6a20d87e

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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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=sha256:9e3da5052410ee427b23da0d8f358cd2281de1f25aa2719a3c8496449b66ddaf

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.611027Z digest=sha256:908cf53855315d5c4e0221d25cf3ce8bb8304dbc98552acba019767f3e032292

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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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:f9d119b9e449b80cc88bbbbb1167a405f2bdf8cce6ec5aaffb3319aee5a9cc01

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.620641Z digest=sha256:c0bdadec397efa2fec404e30fd01b71231d8275a33d52f5442520fb8ec13b036

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=sha256:3341fc1fc8d3511d167cb3c43003c91166a301e05cb820dda60bdbcc494eefe6

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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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=sha256:880425d2c7a4a3c37f27dd48aa9f7cd2ea9614d7f6ef0c5a15b2abf5295faed8

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

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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=sha256:2ade722dc5f0294c7e0d3d5bc11570c4729262cf46263b6b03a259bf523308ca

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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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:c7aa7ab3186657c2553f98793ac1c70c4310cf7aebfe93c4da2abce47bda57b6

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.730537Z digest=sha256:c226b6c7b49b87599f82883b9963a40d88ae41d424d9eebc4b5f291f224440f7

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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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=sha256:54c724a1600c05e27b264ab4fc92474f8073692ceff747e089cc376ff01160cc

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

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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=sha256:989a6f2de56b220e26342cb54c17721cd4bca999ff43d507c1c9ca2bab0dc64d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.823632Z digest=sha256:36520aa4effc4889bad21c3f1ed4b147b94ee95a8bde3b2a9ae6fc83be3632fc

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

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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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.843862Z digest=sha256:ca723a1a9ee35306108e759a0fd53ae645477e116ac1f68b8f7a26039f0be9cb

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.853947Z digest=sha256:ca5bf4836d3c1d05a1d85d5fa3fc0d29d47e935afedb73142ee292c8ed94751f

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

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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=sha256:837da9cad7ad9ef34c642338f0926d21c994c1b2d58168c97d79142941bc6b5a

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

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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:b115217862c29ed5d6c42f9511348fee7f6b5783c436f90a1b0e732471752dde

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.900948Z digest=sha256:5dd2db64f8962c38c7aaa66fdaf3fd7418e32d183745814372853448b5b085c5

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:23.911225Z digest=sha256:e6e4791bdbc1c3fadbdfcfa95e2544d8b1061265fed97e74ca9e30b1aa9219c2

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

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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=sha256:93bee9045c23fc21b5757146bb2e885233d59fb05d408e07dc9e022630cae0fe

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

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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=sha256:73fed454b7c4d4716daff9055bbeeb7c801808338c9048e0856b0c50fe8c2723

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

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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:ee004acddb978f3b091fbe818935d2807e478c08ec6b7e8360a520da90dd783e

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
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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=sha256:592d62f8bb15402b025283dbe5e9f0aeb4b0c96dfe8609453524858907288ed4

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

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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=sha256:78109ea698d9594cb68c88fdc5f812278ed6547e97e3910c95286dea4ca4715a

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=sha256:5b730fa65a8c4c8a2ecf2e6b994f559c7f2662fb54239bef08258611b5702b99

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

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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=sha256:69ef833dbb3049ffd9b942cf1f1819adc5444f66785d5c7eeb9aec4d534cae13

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.987578Z digest=sha256:2807f44845afe44056ecf6f0e1ebce4bb0ffb0e9504743d32f69145c8a8ff49f

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

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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=sha256:77e58384a3509da082ac0401778433c0b21a083b1831ca1d92f5f6c4a0f43959

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
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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:f7e310228403ac6b35c6d498a32b9e71c1fd7a6feb6841821aab16adb7e1d888

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:24.011701Z digest=sha256:f5c02c931bbe88f32b9972ffda08c3d5c8202a22ee5b51b5a8be946311095ef8

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

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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:a1fe92b2ad02142362c503efd9229afad7446cb13f42c18fa3ab0d87b023414c

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

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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=sha256:4698629c811e06f1ea2c6dfeb249122373d16ef906276371e466ec2fe504cfb9

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

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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=sha256:875ead63fa8c4c924bdace30dea8261d46e79594a3d0e27488b3d8758d6ce386

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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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:c9a3b96b379845b3fe144f0c8af5600ad838ca05a568520a5179d915963de43c

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 2026-08-21T06:32:19.484+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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no resolver link, observed 2026-08-08T21:03:24.064992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:03:24.096490Z digest=sha256:01a8107e956c370bf828d4ccaff65fa9eb3a2e1c7b09d1253ac1d70d415209f9

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=sha256:089c8d5632163499ac4957bdbcd0c1c7d0426a690b32d69c56e652f91ca3af22

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

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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=sha256:998cfda8321e39ace765b8b51d94fb6ee6564f7043edded2428561ff2db59710

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T21:03:24.196439Z digest=sha256:a08ba2da6ce067362856f0edab4d151701ea523d2742d274dbfd094569901c53

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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unresolved
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Unavailable: canonical work link unavailable.

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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 2026-08-21T06:32:19.484+00:00.

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