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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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no resolver link, observed 2026-08-10T19:29:51.268869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.268869Z digest=sha256:666b6d44e0585a3ea6f437c5f3d7bf2ec596cd4402e96cea16c77be73e768efb

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:d94e8220bf5eda6c9421739d1bf0bf877b60c9d79ad05963d656bd1fa9fd0fd8

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=sha256:11e2c485b300400c242a52cb63ed9d0ba95b6681a27ca6546191d7db6cb2ecd7

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=sha256:4c4c217895ca574a1527d31d8358f646aae45c841eafee9d3d3f09e04ff534c2

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=sha256:1c61d68fc0fb877a9833fb9d4661aca13aa95393e9a65072d8205814381fc061

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=sha256:6aa7aeaf4760cf48380c454378c3929fa97752d7879f1e54aba05b670fdc144c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.297553Z digest=sha256:41e65472bfd5ace202151bed4d10bfbb460b7707fcbe0baffc140bdb3c6a6e48

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

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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=sha256:0a1d6bf70dae5c307ca741f9f05865d6db6943f51b61811278a9dc38ae785f6e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.305727Z digest=sha256:e99f6d6254f703b88d19b62ef1abc6a5332e2d2e312fef764938add69c413431

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.310928Z digest=sha256:f5e4a6643be53166b02700c427f2a172f35fb8df89b3c3fcdd4b4590c57d1a94

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:f874ed5fa8cd1b0de4ebc8047c4b9cced89d50dee628df93f94a78103b965f9c

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:d017284a816bcbdd70852ecc56fd79000cbe20930ca2a6c741dbea2fb613d2ee

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.322827Z digest=sha256:b6dfdb1a4a486dd227aba977bfce030b462e03851939de0c13be819e3a76ff6a

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=sha256:610637b689aaa7d0094969e0ddfb5084d188a6448121f7de15cbf2d9bfd14413

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

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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=sha256:97cab34cb49fca8f1ee70e847728387dd5687eae6d3a3e49dcee7993dccdb4fb

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.334002Z digest=sha256:daac0f8068bff7d3ecbff477d064d7a2e5c617edf48c56682d1e7ae31e8366c2

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=sha256:49ee643571384ce01afcd132f44112183be179c8f0f0623a4e8fb0855ee8c98b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.341612Z digest=sha256:3937282ebc81cf7f2822fe43e572927b5e5a4382c1d7fbdbded0f085f3af21bf

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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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=sha256:14bcac7a443ad0faca3766e43313afd2264e4c43bfbea4f22536c68dff8e8669

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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no resolver link, observed 2026-08-10T19:29:51.349294Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.349294Z digest=sha256:b2dd6a71887ad27b2801dcc2310f874f809be1af95d2555a66513b1da777d601

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
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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:fe3007316635c83948606595770edb0e2805136ab5e839b19b7c4781261657dc

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.356717Z digest=sha256:50e58cd94251bb9d0d0fdf1f0bc0e5ec03d9e627706a2bac2eefe49050005e67

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.360797Z digest=sha256:74e11d0a487bee2f6be8aed663d2aed8dd65a07c071de5b368e0caa6018f5a0b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.364569Z digest=sha256:2e9daf90ba555d957f8c93b1e922d97484559b50729dc124934d0d8b6c9bd330

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.368304Z digest=sha256:0ee154f55187ed0435571d5cc2aa2a09a18e8531c55f61555fd33184cda65156

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

Resolution
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source=pdf_text observed=2026-08-10T19:29:51.372140Z digest=sha256:d1763c47ea9645707798372efb6a7cc49193646b1300908d174f3843915a08ad

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=sha256:710478ad42c46c404de0fbfa4bf70b9d2e8e23305d4217b89c27063f2755148c

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:fdca6e43ab9832f9b3336242f1987eadcddd5090bedcbc99664097f098e3cfcb

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:dda4af8d1f37938c2dae5d9df8318c1c430197ba2655409bfc29e87ae388b00f

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=sha256:03b44786c39606dcd4cd3de3f5147b03e30fbf65d2e458092a795f51ad3e5ad4

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:bd9e59119f6060fa8eba958d125d2bb5647a983ba3e4aad369d5fe69ddaf8d43

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:ccc10fa6c69f39a6de11f9fa8ba852f487e56a986ee79ad03475632841ff7579

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:29:51.398532Z digest=sha256:54b7f0c4b1285f88f3a2d5cdef46ae0ab7fb8b41445c35797c812362e6124934

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:b0f4d57d794c91e21381c4153e8c53186bd4ec24c4cc3adfbc67f13c8d70a415

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=sha256:332620c7b1ea57c2de3bf14b0e88ae0f3566d97188d19a9725c6c8e671136fcf

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

Resolution
unresolved
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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no resolver link, observed 2026-08-10T19:29:51.415215Z

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source=pdf_text observed=2026-08-10T19:29:51.415215Z digest=sha256:57acecaca2ba31396f93f5b8f18e80b5825bb2159826d64810fb6dae9e79ad39

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

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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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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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no resolver link, observed 2026-08-10T19:29:51.426371Z

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source=pdf_text observed=2026-08-10T19:29:51.426371Z digest=sha256:adf242b691951cb629e70d28482f99dca147191399df710ceff50f15c171f7dd

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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source=pdf_text observed=2026-08-10T19:29:51.430133Z digest=sha256:b8a84d77eb3f98646cae0db635a52c42b6045382897cd90443d6d7a9d8cb5921

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:d162f043d2b2234a4f60ffd33a205c3524ebf5f65a6b4b69cfbae7ceed7a2856

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=sha256:57b78136173c26605942f7a63bf3f65e8ea9918352f3565b6dd9fe64a0664cf8

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

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source=pdf_text observed=2026-08-10T19:29:51.441366Z digest=sha256:816a614b4a3400a3e84f40727001a0e9ec71c765f709443a250b68548432a7a7

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.

source=pdf_text observed=2026-08-10T19:29:51.445464Z digest=sha256:3ced2a0271a799949c004b539fa010f0fa7db4ddb6d74b8224a009776725e890

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

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source=pdf_text observed=2026-08-10T19:29:51.450322Z digest=sha256:c0a08358ffa2aae47864ad794b5dfda370bc72ce1f3e723bb27defbd2d2d6431

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

Resolution
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:a4fad18309a32b5405adb0506f7da9332a86c1fd7866f15158ce03e2b4a4502c

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=sha256:7b984d0c730609bd7d7eb8785f8ea71d4939f8140c1ca8bd7e5cb28eff5b8e7d

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.

source=pdf_text observed=2026-06-26T09:29:03.234211Z digest=sha256:a8eb77f3b57ad9797d45003d6640d6a8c1e21c5b047f5b86d2dbd86eed68d265