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Paper Citation Record · LEDGER

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 4 inbound Pith citation observations for arXiv:2501.10062.

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

pith.paper-citation-record.v1
2501.10062 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:29:51.454608Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T07:48:12.576212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.416043Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0be3239-d0bd-47f1-a3da-07eae6cfe71f · outbound

This paper cites GPT-4 Technical Report.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.268869Z digest=sha256:560644a50bfde4f074aa55ff91200f32a629b3c3a65ea59fd01c820f3cef6fde

Observation 5bbdab1f-bd1b-4ef6-bcf1-3f9a064c35d6 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.273563Z digest=sha256:8cc5f653783d57dee2165a1b25af457b5eb82fea17cbe8638e2e49c94db6f941

Observation 7821749f-8e0f-4e9a-9975-cbefab5905fd · outbound

This paper cites contextual.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning contextual

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.278582Z digest=sha256:881e989ee456ee2419bd6fae0733fdc209b384c2cbc6e22e32e2cc21c9d73d39

Observation dd887de8-de48-40b5-a587-06747627b7ab · outbound

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

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.282697Z digest=sha256:71f55156e1237510d1f8db42bf2cf4369528eb8aa4c3e3eabbb95f2cc770f24a

Observation 57914ead-46f1-4e2a-9bea-def8164da019 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-10T19:29:51.972102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.287839Z digest=sha256:38c13ea45076ff60a439073e2434645720aab658232e263c0a9cce152fce52db

Observation e47fb951-1343-45b4-96f1-b616eadd9ba5 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 6

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no resolver link, observed 2026-08-10T19:29:51.292170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.292170Z digest=sha256:145ab14a4e6141e1dfc0da08752b52fae5ab1c84ca47b93e4e17eae7a907a63c

Observation 43eaffee-2cbf-4d33-b56e-6afb7a72619c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

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no resolver link, observed 2026-08-10T19:29:51.297553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.297553Z digest=sha256:d4a9538e639f0ab68eab3ae6ef5ca3b93af5fec2fac8fc94da8f3ec64ca8d3ad

Observation 01870c25-96dd-43bb-8f46-3df6d9280450 · outbound

This paper cites LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 8

Resolution
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no resolver link, observed 2026-08-10T19:29:51.301538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.301538Z digest=sha256:4467119cd853eca9a7f4d2791b82af9e6415f7dd019583047a6e14d4a589abc6

Observation e9d8ac23-c4d5-4ce7-bf3e-efa86a05fccb · outbound

This paper cites LoRA+: Efficient Low Rank Adaptation of Large Models.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning LoRA+: Efficient Low Rank Adaptation of Large Models

Reference 9

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no resolver link, observed 2026-08-10T19:29:51.305727Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.305727Z digest=sha256:44f0308cd6c8fe7c1d41abf1c923fabbe7fbc332eec1672a06c16d7d098a430c

Observation 92bb84c7-7240-4e22-b985-dca6e718f94a · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 10

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no resolver link, observed 2026-08-10T19:29:51.310928Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.310928Z digest=sha256:1717e0397a2f5e091d260a588b77a3a3cd35b05efba23ed7137b0651dd56fa31

Observation 22137179-4a14-46aa-8d11-24f12376940f · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 11

Resolution
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raw_fallback, observed 2026-08-10T19:29:51.960724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.315039Z digest=sha256:f95741834e95e6b02252ff1b2e9a03c0e0b5538269082efac1990e09073323db

Observation 3b3aecd5-822b-468f-9cbd-88eff00ee65b · outbound

This paper cites Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

Reference 12

Resolution
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no resolver link, observed 2026-08-10T19:29:51.318798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.318798Z digest=sha256:a8a70f4ad534c9f45dccc1abd4d14704dbbebcacf41836046f0fe8b0b11d84e8

Observation 5a254a17-ed0e-4620-9c9c-0b0ab33be252 · outbound

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

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution
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no resolver link, observed 2026-08-10T19:29:51.322827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.322827Z digest=sha256:4aa8864c7221db1d4af6d1adb4baacfb1aa374c57ae454f35b2c37f634019675

Observation f679a7f7-164e-4c9c-83a8-bb33fd2a72c2 · outbound

This paper cites Sparse Structure Search for Parameter-Efficient Tuning.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Sparse Structure Search for Parameter-Efficient Tuning

Reference 14

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no resolver link, observed 2026-08-10T19:29:51.326533Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.326533Z digest=sha256:b4121ea7f765e0cc601146b88e3dbb621cbec27e9f0779ce781c3d9e811de9ce

Observation c405754f-fdaf-43ae-9b79-60b4d8fa0bc1 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.330366Z digest=sha256:898c42a4c82c8afdcfcb24e2595627c958861ef8f9de8704c4b5ec0165da0ec4

Observation d986ccea-952c-4b22-a88d-5aaa0aa4a568 · outbound

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

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 16

Resolution
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no resolver link, observed 2026-08-10T19:29:51.334002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.334002Z digest=sha256:245aa9ec2a83812aa3bc30804a117b68444f88fc4cabf8e7f9e156634bf21288

Observation 19776991-ed42-4261-9df4-eaf11a6233a9 · outbound

This paper cites Huang, Y.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Huang, Y

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:29:51.937809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.337961Z digest=sha256:14ff77902db7901cd780289bfd6ef5052463d1c91cd6ab20e8c74a41f5db2ff1

Observation 89a7b185-6184-4726-831e-3aac8629a3e2 · outbound

This paper cites A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 18

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no resolver link, observed 2026-08-10T19:29:51.341612Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.341612Z digest=sha256:5ae22294c65739d0f519976053eb8a2fba4c3b548999c6c6071ab5f05980468d

Observation a2ee915c-35d1-48f6-820c-370111a42973 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 19

Resolution
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raw_fallback, observed 2026-08-10T19:29:51.926397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.345621Z digest=sha256:85ab41a6c1414615fd5adfe3506c38df7d78b4edd0c54af119d855c0236c9080

Observation 4456a1bc-a255-448f-98d5-c4f5bde3ecd3 · outbound

This paper cites VeRA: Vector-based Random Matrix Adaptation.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning VeRA: Vector-based Random Matrix Adaptation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.349294Z digest=sha256:43f054286cfabdc7e2c1b4251ad2b5d11154b053d7d606d6835f00157d5eb039

Observation 00035fce-40e4-40ee-ac07-477a83ea8e43 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:29:51.914088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.353017Z digest=sha256:f32870e645481c88e3b42035c151a9e21bcc6b697d08adbb4ca5bd6946f329ec

Observation 26d5cf78-b40d-4ffe-a6ad-fd05f9de7724 · outbound

This paper cites MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 22

Resolution
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no resolver link, observed 2026-08-10T19:29:51.356717Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.356717Z digest=sha256:bd7aa694e29e7dd47913ef0cc6d30b447ff616926dce52af3fcb73cd72d56458

Observation 694325e6-2fce-428e-9d63-cc84f1749ca1 · outbound

This paper cites Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform

Reference 23

Resolution
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no resolver link, observed 2026-08-10T19:29:51.360797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.360797Z digest=sha256:98ae9d3e74f9ed4863a068e950b0eea182b43fe44de4c69e0212596d9d9e6593

Observation 812bef60-0e72-4f04-86cf-ae4612453b44 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 24

Resolution
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no resolver link, observed 2026-08-10T19:29:51.364569Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.364569Z digest=sha256:cd1b1806bc7df14c75088f2fb05d950899d817b129fb02e4ca0bab457ac5b0ab

Observation 009f012f-4e94-43c1-a306-2c3a937133ce · outbound

This paper cites TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 25

Resolution
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no resolver link, observed 2026-08-10T19:29:51.368304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.368304Z digest=sha256:6f11d265288ac65a0b1f13290b00ab58a36dacafbbcd5e18d0a843044f3aea8f

Observation 8a9c5239-6101-435a-928c-f6c70616f5d9 · outbound

This paper cites Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.372140Z digest=sha256:65501087553c0e753b968c1399bbb107d08cc53aec327f13217937efd4059b5e

Observation 3b0c22b4-f2a2-45a1-9b77-3a4c29beeea3 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-10T19:29:51.376180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.376180Z digest=sha256:e3498a1b05c8c2a7daca2294699407979f89e3f53ba3f79c9ec7a3582d6d0854

Observation 3f88a649-9e9f-4572-85b3-4b0363f3dddb · outbound

This paper cites When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:51.379501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.379501Z digest=sha256:9057ac98373f990d6641ac9f6f8f61cb72e579836a4c40581a56d5ebabeffd8f

Observation 2b3e2c96-0264-4ca0-ab49-a92d13e3bb5c · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:29:51.383190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.383190Z digest=sha256:cf714171c33dae3451a04bd85a6822d5c565caf667ca9b63993858c393fe081a

Observation 650efc14-e2ab-44dc-b0f0-b6a3ac978b46 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 30

Resolution
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no resolver link, observed 2026-08-10T19:29:51.387161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.387161Z digest=sha256:4c71f97887c037e6e3c4298df991f7b46313d6fde46e175558366a475b07b8f9

Observation 6489bc81-beb7-42f6-bca3-9aeb184d7ce0 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 31

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no resolver link, observed 2026-08-10T19:29:51.391185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.391185Z digest=sha256:72189073d9804591d05c704069b0fc1ed084f000af467c9b550cfcee7826018c

Observation a606392e-8662-412f-9fc0-aabadfad57a9 · outbound

This paper cites Ouyang, J.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Ouyang, J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:29:51.896570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.394976Z digest=sha256:537c444de2e67857f74db1f5f139983a744bbfc21ac39075c0bb1e0cb0096708

Observation 64b9bffb-2e44-4a29-9ca4-685fe772b8e2 · outbound

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Scaling Large Language Model-based Multi-Agent Collaboration

Reference 33

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no resolver link, observed 2026-08-10T19:29:51.398532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.398532Z digest=sha256:dc6b18b6709e702e4794d90a15d00529346beb037b388ad08c3d5557b918a42b

Observation 13558cc7-089d-47a8-8308-ce0d9631d737 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-10T19:29:51.885580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.403265Z digest=sha256:8dd1bd8df5dae7080090ca2ae4deb21355883b677f862e0aeb00a31cb4123c32

Observation 5f1f4010-6cea-4ce1-b57b-e9c82dcddbf7 · outbound

This paper cites Sakaguchi, R.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Sakaguchi, R

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:29:51.873708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.407546Z digest=sha256:69c9e4d4f049cf5793f85416317a31092cf7c9762d3a694a76274bb36b635ef2

Observation 2e7a488f-9fe1-47b0-8c3c-67d9968dc485 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning SocialIQA: Commonsense Reasoning about Social Interactions

Reference 36

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no resolver link, observed 2026-08-10T19:29:51.411148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a0b2f5d7-b668-4c96-aa8e-0972247d5d36 · outbound

This paper cites Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast

Reference 37

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source=pdf_text observed=2026-08-10T19:29:51.415215Z digest=sha256:de047489696a4beedb22759b3e32398fbe5da4a10a0d30a20c956abb2a68fa4b

Observation a19bd146-fe6d-482f-b695-9ecf2fb44e3f · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-10T19:29:51.863089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation acdf167b-8616-4b55-bb6b-f38850803066 · outbound

This paper cites HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Reference 39

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no resolver link, observed 2026-08-10T19:29:51.422645Z

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Observation fbc2169d-579a-4ff0-9ddd-642a1b2995ec · outbound

This paper cites TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models

Reference 40

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Observation 755b6541-9b39-40c6-9c0f-e0e3c197c130 · outbound

This paper cites an unresolved cited work.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-10T19:29:51.430133Z

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Observation c83aa6f7-3181-4020-89b3-a61d57ea621d · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 42

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no resolver link, observed 2026-08-10T19:29:51.433696Z

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source=pdf_text observed=2026-08-10T19:29:51.433696Z digest=sha256:35367fb598ff6d142344b98aca9994b007469ff224facafc5cb9723548ee5c8e

Observation 0e7c659d-f987-4427-ade7-389e3272ee64 · outbound

This paper cites Zhang, Y.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Zhang, Y

Reference 43

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.437737Z digest=sha256:c18349507e603316a5848cbadede9a78eb42352ff4c0bbf00885826730ff0080

Observation c7256a8c-720b-4819-b8cc-a4f25709b226 · outbound

This paper cites AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Reference 44

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no resolver link, observed 2026-08-10T19:29:51.441366Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T19:29:51.441366Z digest=sha256:8f55defa4a96f15ad8279874e7cd90e1bc7b617e447391b1b45df043c4e88da6

Observation 080264aa-4351-4fe5-9a50-a6ba5f77d38d · outbound

This paper cites Zhang, P.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Zhang, P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:29:51.839267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 071dbd86-6f8a-4ea1-9117-db18bc130ad5 · outbound

This paper cites IAPT: Instruction-Aware Prompt Tuning for Large Language Models.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning IAPT: Instruction-Aware Prompt Tuning for Large Language Models

Reference 46

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no resolver link, observed 2026-08-10T19:29:51.450322Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T19:29:51.450322Z digest=sha256:45d37efe72e2f52b6dcd0305137d8881898c59b5f950fb2478da4c2c861afee6

Observation f1e5c290-e3e2-4202-8907-9688b6ea5969 · outbound

This paper cites Zhuang, Y.

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning Zhuang, Y

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-10T19:29:51.826045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T19:29:51.454608Z digest=sha256:8fcb86fea553b6ba33205b157f45e941ea18e31d65a69a6bb1b78360d65daaef

Pith citing papers

Observation 1ac979d5-c127-4bdd-b467-af21efdd8fa6 · inbound

CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning cites this paper.

CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:39:53.466548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3a5151e2-7f3b-4f51-8158-dddcfe7d0233 · inbound

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE cites this paper.

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning

Reference 16

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verified exact
arxiv_id, observed 2026-07-02T01:36:25.764933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 67a9330c-9044-4599-9d17-bf0e9a0946e2 · inbound

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE cites this paper.

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning

Reference 16

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no resolver link, observed 2026-07-13T07:48:12.576212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:48:12.576212Z digest=sha256:63d377554d19af31824d421ddb9dfa751357c2a6d377baf070d7c2b1d5686df7

Observation 3a450172-d54d-44ae-b1bf-fd7bdce8fd12 · inbound

Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning cites this paper.

Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.417986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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