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Paper Citation Record · LEDGER

Cached Multi-Lora Composition for Multi-Concept Image Generation

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:0fca10cd8dcaf4cf51bbc0bda7cab040cf626a9cd75775bf8d67845d92a66178

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:efa7f96e956c4f2b9d7fe4c1b0353701438c2c8aa5cf139e7dc72d0796ed8b53

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:ee238cc989ed530ca8924995531d8de71c73ac2244db9fae7172acdb7a49ab73

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.611027Z digest=sha256:4bb16fb4a10678494101b54f2281f5939ad405f850c60384090823bd87b7adde

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=sha256:3112585c9c68202a1fa19960db5b1db8cf54203d3723f78a53f6726f3501fba6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.620641Z digest=sha256:39bb1bc714456792567fdbddf8516ea431d436bf90a34c169e47c94592190e40

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:f5ea8ffab714da1e886e7e1b83b72c3993a5a99b2bef8931e4e94b82f11f9af2

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=sha256:6b55df8a36bd6458475c3ecaf8bab93292cf6673ea9b07781aac822aec002073

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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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=sha256:57963985962b7bfe07f803d0c878887a2b19221ae9150bf056272fd0d41f9988

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:d0e5490e2d13fce8569fd559ce195fa5cbf902a9d28d88944f851dc2972181c3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.730537Z digest=sha256:cb734128a0f8355bb02f209f77fbbfb5fc8fec8b0d994b5c413c7b8daeb3908f

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=sha256:0ed36fc9c905b6098cf1a516d63aa24ffc8b1d5c3ebafe6016e96dcc31659b5e

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=sha256:57b4a0b040d785f536411ef4bd8ec45773a8b0c4f08bffdbcf7ad9f88ada709b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.823632Z digest=sha256:4c3dcb0f026013c89ce7359c3e711f7cb65b216aa369c91fadbe97a08206a3ba

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.843862Z digest=sha256:8589e66f43218cadf69e8a55fbff559bdfd167898e2ee8b4d9f41d609d3dcd4c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.853947Z digest=sha256:effae504ee60c31d8ad897318d714fa68303e06412c04b93155d671ae5944bdc

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=sha256:726346200e71b43d3c2796b8040ac68fdfee2f3a43a5bc6dec4c563bf054f65c

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:d85e4d76e7073dd4376da698cc4279188a3eeb3a6192d4e9224bbdbbaa987fa3

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.900948Z digest=sha256:de8add97481129ecaaaaed1853e7a5b00c7055701877bf03138da333afad9a3e

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:c3a28a6c1b9cc77e2cfd2e5e7664ce1422a3da19014ab7101d37a3419d8706ac

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
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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=sha256:4758406194d3beebdd9a9c50d3739d4caaa2286f63e841440e743e53f2ba9441

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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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=sha256:31100595c4634059b94397e92d858108d87574a913438c8110a71859604625f9

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=sha256:8844bfbe899c38ebd30090e261e080fa3cb7f3f833d5b714307f926e8519de77

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:bdcf3120fa9fb7408cd8416d6b29ceead9a2acff00cbf1d2c2afca410f1123f7

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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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=sha256:67f42f1a029fba70c0d1c799a9e0991a1fd11bd9bae571c834bafb3125ea9541

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

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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:c001596682121687311cedc111e5910c3579b5704e20e537e8d8d4bbe5539026

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=sha256:1269df92230dcad78c124be4bbf66025c4c390c2c84fb293e2c1204605daa5e9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:23.987578Z digest=sha256:4ebfbb8ed2c5ca0a62db8d968a11a499e83733adc5d780d207600e05eac45ce9

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=sha256:2effe668ce1c53b7dee5e1b47148f00c26bb90689a21010d275a4f6eb1750684

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=sha256:155694fa829293576f08d8fa0685f32097112cbaafadb5d20ac9943ccf7cb5ac

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:24.011701Z digest=sha256:21b5683f46a6ac57c10c43165a91063baea5120ee260c0b0a33d313f2e49c40f

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=sha256:5eac66deba3fef19efca9e2b2198ef371f7874d687c175d05b4f6a6b58c6678e

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=sha256:7083bec398cdd6c4016752a0738b0e2c31fe8779fe985672eb391db20d5b7554

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
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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=sha256:90751d43aa3cea56474744ca0c5bce67577af7f4498a65348b4b5799504485da

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:ef06fba5e12bc002f926bac7bef921742e7774c57d103d209509d51bc69f99df

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 2026-08-09T06:31:02.800959+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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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
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Unavailable: canonical work link unavailable.

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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=sha256:9ddf30460cc4e235ab64a91662eac34d0f352967985ca2c7d1b8dceb34dedc4d

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T21:03:24.196439Z digest=sha256:3299ba5bfedcd92b61eb0ec127408b10487d6d9d478146e31b647fb9b2f62083

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

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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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Source-reported events for the cited work

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 2026-08-09T06:31:02.800959+00:00.

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