Paper Citation Record · LEDGER

Ensembles of Low-Rank Expert Adapters

As of 10 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 3 inbound Pith citation observations for arXiv:2502.00089.

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

pith.paper-citation-record.v1
2502.00089 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:29:52.739918Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:33:50.303976Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

97 of 97 outbound references displayed

verified exact5
verified fuzzy21
unresolved69
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce4f5266-1bc4-4744-beac-e60c46cab8a5 · outbound

This paper cites write newline.

Ensembles of Low-Rank Expert Adapters write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.428081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0abb0b-2e59-43a7-9370-2ffd3772e800 · outbound

This paper cites Scalable Ensembling For Mitigating Reward Overoptimisation.

Ensembles of Low-Rank Expert Adapters Scalable Ensembling For Mitigating Reward Overoptimisation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.433029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef1cf7b-0d0c-45ab-a16f-3a5f68f86770 · outbound

This paper cites Mathqa: Towards interpretable math word problem solving with operation-based formalisms.

Ensembles of Low-Rank Expert Adapters Mathqa: Towards interpretable math word problem solving with operation-based formalisms

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.437054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b48e0211-7139-49e0-8145-4077185689f8 · outbound

This paper cites Introducing the next generation of claude, 2024.

Ensembles of Low-Rank Expert Adapters Introducing the next generation of claude, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.440416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da01a1a5-1bb9-4f3d-96e1-029216abe860 · outbound

This paper cites Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.

Ensembles of Low-Rank Expert Adapters Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.443648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daab8f34-6662-4ebc-8252-d1ae459ae696 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Ensembles of Low-Rank Expert Adapters A Survey on Mixture of Experts in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.446821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5eb933d-b16b-47b9-b586-9b5e3759add4 · outbound

This paper cites SWAD: domain generalization by seeking flat minima.

Ensembles of Low-Rank Expert Adapters SWAD: domain generalization by seeking flat minima

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.450520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5d2ca7-e53d-47c3-904a-ae6c85636a54 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Ensembles of Low-Rank Expert Adapters FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.453840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d2d0da-7e76-4c93-933f-53743e5ca750 · outbound

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

Ensembles of Low-Rank Expert Adapters LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.457508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9b286f-9497-484a-9a12-0218651c126a · outbound

This paper cites Peters, Alexander Fraser, and Jesse Dodge.

Ensembles of Low-Rank Expert Adapters Peters, Alexander Fraser, and Jesse Dodge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.462198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed38dbd-5641-4175-b2e7-07ca7ce34c59 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Ensembles of Low-Rank Expert Adapters Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.465421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d11ba599-da2a-4aa5-8252-c7c1da034b32 · outbound

This paper cites Free dolly: Introducing the world's first truly open instruction-tuned llm, 2023.

Ensembles of Low-Rank Expert Adapters Free dolly: Introducing the world's first truly open instruction-tuned llm, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.468954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52eb552f-d309-45d9-8622-c7cc5cd9b0db · outbound

This paper cites Reward model ensembles help mitigate overoptimization.

Ensembles of Low-Rank Expert Adapters Reward model ensembles help mitigate overoptimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.471873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea811c9a-5cbf-427c-95a3-db9d9f8ba141 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Ensembles of Low-Rank Expert Adapters DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.475481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c089f7db-4841-47df-8480-858f522f1c63 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Ensembles of Low-Rank Expert Adapters Qlora: Efficient finetuning of quantized llms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.479022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75787ab6-8b8a-4d01-bae3-2897c5f93ff7 · outbound

This paper cites Mixture-of-domain-adapters: Decoupling and injecting domain knowledge to pre-trained language models' memories.

Ensembles of Low-Rank Expert Adapters Mixture-of-domain-adapters: Decoupling and injecting domain knowledge to pre-trained language models' memories

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.481975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3a637e1-35b2-4df7-9f5b-31d681fe4ca0 · outbound

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

Ensembles of Low-Rank Expert Adapters LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.485134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04037a29-20bb-4b9b-ae99-3901e37990a9 · outbound

This paper cites Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective.

Ensembles of Low-Rank Expert Adapters Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-09T20:29:53.247374Z

Source-reported events for the cited work

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

Observation b9913db2-58a8-43c3-9e0f-1a9622dbf947 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Ensembles of Low-Rank Expert Adapters Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.492204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7360fbcf-18d8-46a8-9b60-7ecb94eb1e0f · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Ensembles of Low-Rank Expert Adapters Deep Ensembles: A Loss Landscape Perspective

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.495313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219de549-f39a-4315-830a-41ec686e4afe · outbound

This paper cites Higher Layers Need More LoRA Experts.

Ensembles of Low-Rank Expert Adapters Higher Layers Need More LoRA Experts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.498584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde71bd4-8008-4b76-ab0a-9827f38b06e6 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Ensembles of Low-Rank Expert Adapters The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.501887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522e88fc-5c50-40bc-a787-320266f2ffad · outbound

This paper cites Vetrov, and Andrew Gordon Wilson.

Ensembles of Low-Rank Expert Adapters Vetrov, and Andrew Gordon Wilson

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.505309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae4d753-f69b-4c02-9db5-e5baafb8e83b · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Ensembles of Low-Rank Expert Adapters Gemma 2: Improving Open Language Models at a Practical Size

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.508264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4944b39b-c71c-4113-b73d-6d01a33f18e2 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Ensembles of Low-Rank Expert Adapters Gemma: Open Models Based on Gemini Research and Technology

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.511701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a1646e-738f-431d-9388-6f4b2f9f3556 · outbound

This paper cites Uncertainty Estimation for Language Reward Models.

Ensembles of Low-Rank Expert Adapters Uncertainty Estimation for Language Reward Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.515236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330c7b39-7a2d-4561-a535-c75dbba72d11 · outbound

This paper cites Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.

Ensembles of Low-Rank Expert Adapters Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.518494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5007fa0-89d8-4d57-aa1e-1a9e5338b101 · outbound

This paper cites Training independent subnetworks for robust prediction.

Ensembles of Low-Rank Expert Adapters Training independent subnetworks for robust prediction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.522364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f81ea23a-e43a-4e56-ad42-9ceef57deffb · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

Ensembles of Low-Rank Expert Adapters Towards a unified view of parameter-efficient transfer learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.525499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dbc343f-09de-4fe5-8140-91aac38ebb9d · outbound

This paper cites Measuring massive multitask language understanding.

Ensembles of Low-Rank Expert Adapters Measuring massive multitask language understanding

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.528349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac90a528-bc1f-4117-9047-186361e9a44c · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Ensembles of Low-Rank Expert Adapters Measuring mathematical problem solving with the MATH dataset

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.531280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d57f71d-88ef-4b8b-be37-e10895254d81 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

Ensembles of Low-Rank Expert Adapters Parameter-efficient transfer learning for NLP

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.534020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3262c07c-d364-49ef-95d2-8b19b01a085e · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Ensembles of Low-Rank Expert Adapters Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.536981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30381e0a-201e-42d8-b831-508be7f2ec4a · outbound

This paper cites Lorahub: Efficient cross-task generalization via dynamic lo RA composition.

Ensembles of Low-Rank Expert Adapters Lorahub: Efficient cross-task generalization via dynamic lo RA composition

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.540054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14196ecc-a9a8-4d3b-8ba8-349529718b72 · outbound

This paper cites Mixtral of Experts.

Ensembles of Low-Rank Expert Adapters Mixtral of Experts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.542880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ec9bfd6-56b1-40b2-9eaf-fef93ff2d37b · outbound

This paper cites Llm-blender: Ensembling large language models with pairwise ranking and generative fusion.

Ensembles of Low-Rank Expert Adapters Llm-blender: Ensembling large language models with pairwise ranking and generative fusion

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.546083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b1fc98-ff5e-40b0-864d-f1da243e1d5c · outbound

This paper cites Johnson and Joram Lindenstrauss.

Ensembles of Low-Rank Expert Adapters Johnson and Joram Lindenstrauss

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.404164Z

Source-reported events for the cited work

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

Observation 70d78b06-f48b-4767-9d51-4fb53ab41f91 · outbound

This paper cites Jordan and Robert A.

Ensembles of Low-Rank Expert Adapters Jordan and Robert A

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.551811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a6108f-32b9-42e7-89f0-6d55b7c7a60e · outbound

This paper cites Random indexing of text samples for latent semantic analysis.

Ensembles of Low-Rank Expert Adapters Random indexing of text samples for latent semantic analysis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.396282Z

Source-reported events for the cited work

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

Observation de08f253-3d36-43d3-acae-e6382cfd06a0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Ensembles of Low-Rank Expert Adapters Adam: A Method for Stochastic Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.557866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a542c76-bf69-4b19-9353-70ff405a97af · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R \.

Ensembles of Low-Rank Expert Adapters o pf, Yannic Kilcher, Dimitri von R \

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.387564Z

Source-reported events for the cited work

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

Observation 8623d1a8-ad23-487d-9646-62c653c170a2 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Ensembles of Low-Rank Expert Adapters Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.378893Z

Source-reported events for the cited work

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

Observation e0cd3d2e-e0da-44e2-80b3-c4226be6dc78 · outbound

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

Ensembles of Low-Rank Expert Adapters MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.567106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228ee2fd-a548-47c1-a310-2062c0950ea7 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Ensembles of Low-Rank Expert Adapters Prefix-tuning: Optimizing continuous prompts for generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.570248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa686ed-3616-4250-bfef-c8ffde77e596 · outbound

This paper cites MUB en: Benchmarking the uncertainty of molecular representation models.

Ensembles of Low-Rank Expert Adapters MUB en: Benchmarking the uncertainty of molecular representation models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.369098Z

Source-reported events for the cited work

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

Observation ced6b897-0ea2-410b-af40-48ab51b8ec87 · outbound

This paper cites When MOE meets llms: Parameter efficient fine-tuning for multi-task medical applications.

Ensembles of Low-Rank Expert Adapters When MOE meets llms: Parameter efficient fine-tuning for multi-task medical applications

Reference 46

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T20:29:54.150565Z

Source-reported events for the cited work

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

Observation 3cad6110-dc0e-4293-9e67-71eb0ab7fa90 · outbound

This paper cites Deep ensembling with no overhead for either training or testing: The all-round blessings of dynamic sparsity.

Ensembles of Low-Rank Expert Adapters Deep ensembling with no overhead for either training or testing: The all-round blessings of dynamic sparsity

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.359656Z

Source-reported events for the cited work

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

Observation a3aeb5f0-4d5c-406c-a15d-2d6cb603ce32 · outbound

This paper cites T-REX: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning.

Ensembles of Low-Rank Expert Adapters T-REX: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-09T20:29:53.160683Z

Source-reported events for the cited work

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

Observation 7fbec777-d88e-4967-8fa6-bfd54a73eddd · outbound

This paper cites Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models.

Ensembles of Low-Rank Expert Adapters Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.585304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a13d7e-4059-46e1-8c26-6615b30f967b · outbound

This paper cites Le, Barret Zoph, Jason Wei, and Adam Roberts.

Ensembles of Low-Rank Expert Adapters Le, Barret Zoph, Jason Wei, and Adam Roberts

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.350369Z

Source-reported events for the cited work

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

Observation c78b2b07-1f10-425c-bbd7-584080f5fb2b · outbound

This paper cites Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models.

Ensembles of Low-Rank Expert Adapters Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.592292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155a85db-4f02-43dc-b155-c36fa0ef3c6b · outbound

This paper cites MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.

Ensembles of Low-Rank Expert Adapters MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.595718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6b8da7-c3e4-485b-b03d-94b2bab62048 · outbound

This paper cites Learning to route among specialized experts for zero-shot generalization.

Ensembles of Low-Rank Expert Adapters Learning to route among specialized experts for zero-shot generalization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.341831Z

Source-reported events for the cited work

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

Observation 9bad2658-d80b-456b-b3bb-d9ae0d348df9 · outbound

This paper cites Introducing ChatGPT , 2022.

Ensembles of Low-Rank Expert Adapters Introducing ChatGPT , 2022

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.332998Z

Source-reported events for the cited work

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

Observation d273fd88-257d-4ed0-bca3-1ff8f86ca0bb · outbound

This paper cites GPT-4 Technical Report.

Ensembles of Low-Rank Expert Adapters GPT-4 Technical Report

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.604978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f683a8c-fa75-414c-93b7-3cad1c72a191 · outbound

This paper cites an unresolved cited work.

Ensembles of Low-Rank Expert Adapters Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.608068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c97993-45c2-4a4b-b850-d5115425a42f · outbound

This paper cites G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation.

Ensembles of Low-Rank Expert Adapters G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.611083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 318d2815-6425-4ce7-9406-e8669a337880 · outbound

This paper cites an unresolved cited work.

Ensembles of Low-Rank Expert Adapters Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.614620Z

Source-reported events for the cited work

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Observation e91e97fd-03fa-49f6-924d-7e2b461390b5 · outbound

This paper cites Boosted Prompt Ensembles for Large Language Models.

Ensembles of Low-Rank Expert Adapters Boosted Prompt Ensembles for Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.617739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b0e7393-5efb-4523-ad30-510d34c4b15d · outbound

This paper cites Estimating training data influence by tracing gradient descent.

Ensembles of Low-Rank Expert Adapters Estimating training data influence by tracing gradient descent

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.319710Z

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

Observation 73ae6b42-3076-4904-bd77-8b7241234763 · outbound

This paper cites Improving language understanding by generative pre-training.

Ensembles of Low-Rank Expert Adapters Improving language understanding by generative pre-training

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.310975Z

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

Observation e9f06fc9-22b4-4378-baa8-495753da55cc · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

Ensembles of Low-Rank Expert Adapters Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.627301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec91bb9e-8b41-42af-aecf-1be086cbd02b · outbound

This paper cites MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models.

Ensembles of Low-Rank Expert Adapters MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.630453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252896bd-98e0-45a7-bac7-17ace2a2b049 · outbound

This paper cites Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models.

Ensembles of Low-Rank Expert Adapters Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.633684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e132591-f4cf-48da-b032-2dbb4bde7676 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

Ensembles of Low-Rank Expert Adapters Towards Expert-Level Medical Question Answering with Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.636987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e9e2bf5-a21f-4e87-bbf3-d91d6b463f4c · outbound

This paper cites Le, Ed H.

Ensembles of Low-Rank Expert Adapters Le, Ed H

Reference 66

Resolution: malformed identifier; no resolver link, observed 2026-08-09T20:29:52.640507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5524c4ff-0713-4f5f-be0f-b47c78b1167c · outbound

This paper cites Szymanski and Michael D.

Ensembles of Low-Rank Expert Adapters Szymanski and Michael D

Reference 67

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T20:29:53.881509Z

Source-reported events for the cited work

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

Observation fe9553f4-130c-4332-8992-3bdea05f66de · outbound

This paper cites Hashimoto.

Ensembles of Low-Rank Expert Adapters Hashimoto

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.647006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa2be66-c237-44a0-b41e-433f9d664cf0 · outbound

This paper cites Hydralo RA : An asymmetric lo RA architecture for efficient fine-tuning.

Ensembles of Low-Rank Expert Adapters Hydralo RA : An asymmetric lo RA architecture for efficient fine-tuning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.296033Z

Source-reported events for the cited work

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

Observation 32f02831-474e-420d-a835-9bd915c7c3f4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Ensembles of Low-Rank Expert Adapters LLaMA: Open and Efficient Foundation Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.652861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b655f270-66ed-4b96-8b26-b908581acecc · outbound

This paper cites Plex: Towards Reliability using Pretrained Large Model Extensions.

Ensembles of Low-Rank Expert Adapters Plex: Towards Reliability using Pretrained Large Model Extensions

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.656237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4838c959-8044-4e42-94ce-ed943e6d7f11 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Ensembles of Low-Rank Expert Adapters Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.659834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4deece2-19b0-48c2-8ec7-ae2f2099e0da · outbound

This paper cites Xing, and Mikhail Yurochkin.

Ensembles of Low-Rank Expert Adapters Xing, and Mikhail Yurochkin

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.281694Z

Source-reported events for the cited work

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

Observation 665cdd69-9629-416c-b285-a181b9b8ca41 · outbound

This paper cites LoRA ensembles for large language model fine-tuning.

Ensembles of Low-Rank Expert Adapters LoRA ensembles for large language model fine-tuning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.666094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de2b785-d27f-4e82-978c-18581096fedf · outbound

This paper cites Le, Ed H.

Ensembles of Low-Rank Expert Adapters Le, Ed H

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.272438Z

Source-reported events for the cited work

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

Observation f685a2b4-33da-4227-b7ed-ea09131120f7 · outbound

This paper cites MultiLoRA: Democratizing LoRA for Better Multi-Task Learning.

Ensembles of Low-Rank Expert Adapters MultiLoRA: Democratizing LoRA for Better Multi-Task Learning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.672748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66f43f29-3afa-478a-8edd-dcd6d8fedeb8 · outbound

This paper cites Smith, Iz Beltagy, and Hannaneh Hajishirzi.

Ensembles of Low-Rank Expert Adapters Smith, Iz Beltagy, and Hannaneh Hajishirzi

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.263404Z

Source-reported events for the cited work

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

Observation a8814d0e-08bd-4534-af23-bd9ed8defd32 · outbound

This paper cites Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models.

Ensembles of Low-Rank Expert Adapters Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.254376Z

Source-reported events for the cited work

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

Observation 8df2b70e-c7da-41ac-9b3d-ba605d8fd06a · outbound

This paper cites Chi, Quoc V.

Ensembles of Low-Rank Expert Adapters Chi, Quoc V

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.682088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153b9411-ab4c-4775-b6b3-48279413ca10 · outbound

This paper cites Batched low-rank adaptation of foundation models.

Ensembles of Low-Rank Expert Adapters Batched low-rank adaptation of foundation models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.239238Z

Source-reported events for the cited work

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

Observation ce3d3597-9675-4709-a4e1-71de7d977b07 · outbound

This paper cites Mixture of LoRA Experts.

Ensembles of Low-Rank Expert Adapters Mixture of LoRA Experts

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.688155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a3a64c-2735-40c2-a3ad-a760e24418ad · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

Ensembles of Low-Rank Expert Adapters LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.691742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0266bacc-470c-4bbe-b75a-e999f8af8fbe · outbound

This paper cites Data selection for language models via importance resampling.

Ensembles of Low-Rank Expert Adapters Data selection for language models via importance resampling

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.229603Z

Source-reported events for the cited work

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

Observation a68125ae-7bb0-48d6-8dfa-5b5ccc2e12bf · outbound

This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Ensembles of Low-Rank Expert Adapters OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.698206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3be391e-0975-452f-8c13-a9b5d2a3f18b · outbound

This paper cites Fingpt: Open-source financial large language models.

Ensembles of Low-Rank Expert Adapters Fingpt: Open-source financial large language models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.701666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a26faf70-0d95-4a61-9943-32c52e770472 · outbound

This paper cites Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model.

Ensembles of Low-Rank Expert Adapters Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.704791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b03c7b85-402a-4693-b73a-cc29b205bb6c · outbound

This paper cites Pushing mixture of experts to the limit: Extremely parameter efficient moe for instruction tuning.

Ensembles of Low-Rank Expert Adapters Pushing mixture of experts to the limit: Extremely parameter efficient moe for instruction tuning

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.220634Z

Source-reported events for the cited work

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

Observation 3de8c0c6-f2f5-4cb8-809e-783491121bee · outbound

This paper cites Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble.

Ensembles of Low-Rank Expert Adapters Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.710948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1819ef8f-e35f-43c7-b936-5ad94cf48457 · outbound

This paper cites Birch: an efficient data clustering method for very large databases.

Ensembles of Low-Rank Expert Adapters Birch: an efficient data clustering method for very large databases

Reference 89

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T20:29:53.616157Z

Source-reported events for the cited work

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

Observation 9b1ea579-96a8-41ae-bcbd-9bb1f0e7a697 · outbound

This paper cites A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.

Ensembles of Low-Rank Expert Adapters A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.717760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09793fc3-92b9-46d2-927d-2587a7db07b0 · outbound

This paper cites Lory: Fully differentiable mixture-of-experts for autoregressive language model pre-training.

Ensembles of Low-Rank Expert Adapters Lory: Fully differentiable mixture-of-experts for autoregressive language model pre-training

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.211304Z

Source-reported events for the cited work

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

Observation 17a1e7b8-54aa-44c6-a3f6-c6a88719affc · outbound

This paper cites Exploring training on heterogeneous data with mixture of low-rank adapters.

Ensembles of Low-Rank Expert Adapters Exploring training on heterogeneous data with mixture of low-rank adapters

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T20:29:54.201175Z

Source-reported events for the cited work

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

Observation afe5027e-1a4e-4193-adb3-1f8d15406723 · outbound

This paper cites LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training.

Ensembles of Low-Rank Expert Adapters LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.726760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c3c7f4-ced9-49f8-a0d7-154830185a54 · outbound

This paper cites SiRA: Sparse Mixture of Low Rank Adaptation.

Ensembles of Low-Rank Expert Adapters SiRA: Sparse Mixture of Low Rank Adaptation

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.730022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e0d2dc-4ea4-4b0e-8bbc-a95f59ee66cd · outbound

This paper cites @esa (Ref.

Ensembles of Low-Rank Expert Adapters @esa (Ref

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.733268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7e2a82-10f7-4383-8b86-9e288b3141bd · outbound

This paper cites an unresolved cited work.

Ensembles of Low-Rank Expert Adapters Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.736658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6278e7-2bc2-4f25-85ce-305c83e51e97 · outbound

This paper cites The data points (solid and hollow circles) do not necessarily have a geometric correspondence to their gradient directions (arrows).

Ensembles of Low-Rank Expert Adapters The data points (solid and hollow circles) do not necessarily have a geometric correspondence to their gradient directions (arrows)

Reference 97

Resolution: malformed identifier; no resolver link, observed 2026-08-09T20:29:52.739918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c208dc31-24bb-4ee2-9f80-76def4a089ef · inbound

Exploring the Rashomon Set for Concept-Based Models cites this paper.

Exploring the Rashomon Set for Concept-Based Models Ensembles of Low-Rank Expert Adapters

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T20:33:50.303976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa871c7-f9d5-4276-8a00-57dc50b14254 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Ensembles of Low-Rank Expert Adapters

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:05.261852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16142635-e0b4-43e3-9817-15c30ef8b62c · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Ensembles of Low-Rank Expert Adapters

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.