Paper Citation Record · LEDGER

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2502.03884.

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

pith.paper-citation-record.v1
2502.03884 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:26:05.310741Z

measured 33 of 33 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy24
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b862c3bc-00b8-4c60-9541-8ca000df6a8e · outbound

This paper cites A survey on evaluation of large language models.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning A survey on evaluation of large language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.618170Z

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 5f67a3fb-5490-419c-b9f6-b6f4bddaef38 · outbound

This paper cites Qlora: Efficient fine- tuning of quantized llms.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Qlora: Efficient fine- tuning of quantized llms

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.600642Z

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 35d77e59-1004-4f6d-b6f5-5ef3294885b7 · outbound

This paper cites Loramoe: Alleviating world knowledge forgetting in large language models via moe-style plugin.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Loramoe: Alleviating world knowledge forgetting in large language models via moe-style plugin

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.591718Z

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 96dae0cf-a698-444a-a428-87e8ba1e363f · outbound

This paper cites Glam: Efficient scaling of language models with mixture- of-experts.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Glam: Efficient scaling of language models with mixture- of-experts

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.583043Z

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 5dd8a9dd-b79d-434c-9eaa-d518eef1847f · outbound

This paper cites Higher Layers Need More LoRA Experts.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Higher Layers Need More LoRA Experts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.227041Z

Source-reported events for the cited work

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Observation 31edfba0-dbb4-404a-bf4c-c46d75abf908 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.230497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0cc5e4-843b-41ec-822d-2e8b20a45221 · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Lora+: Efficient low rank adaptation of large models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.569066Z

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 7e7fa0a2-6eda-4973-8b48-856e02ef725d · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Parameter-efficient transfer learning for nlp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.560832Z

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 8d36c390-b455-4bd0-8148-d23742f39920 · outbound

This paper cites Harder tasks need more experts: Dynamic routing in moe mod- els.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Harder tasks need more experts: Dynamic routing in moe mod- els

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.542500Z

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 d6f04330-20f2-465c-ac58-ef062d5a9ff7 · outbound

This paper cites Adaptive mix- tures of local experts.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Adaptive mix- tures of local experts

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.532936Z

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 3be8d3ee-24ce-4fea-84f5-217c2fa72aad · outbound

This paper cites Gshard: Scaling giant models with conditional computa- tion and automatic sharding.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Gshard: Scaling giant models with conditional computa- tion and automatic sharding

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.514589Z

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 88492b77-2f3a-48e3-94a1-188bb4436969 · outbound

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

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Prefix- tuning: Optimizing continuous prompts for generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.496140Z

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 9cb577ec-e8ce-4346-a649-a7084e949904 · outbound

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

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.262430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c4d36b-7e27-48d6-aa18-9a705494613b · outbound

This paper cites Learn to ex- plain: Multimodal reasoning via thought chains for sci- ence question answering.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Learn to ex- plain: Multimodal reasoning via thought chains for sci- ence question answering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.486504Z

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 0f3d2e9c-8792-4b45-8d72-cee32c5e99c4 · outbound

This paper cites Can a suit of armor con- duct electricity? a new dataset for open book question an- swering.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Can a suit of armor con- duct electricity? a new dataset for open book question an- swering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.476142Z

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 41587668-7476-456c-b892-dcc884480144 · outbound

This paper cites Alphalora: Assigning lora experts based on layer training quality.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Alphalora: Assigning lora experts based on layer training quality

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.456912Z

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 ac3c672e-5152-4bbc-936f-060f344b019d · outbound

This paper cites Scaling vision with sparse mixture of experts.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Scaling vision with sparse mixture of experts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.277593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895c8a30-f7df-487d-b9e9-8969837719c7 · outbound

This paper cites Hash layers for large sparse mod- els.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Hash layers for large sparse mod- els

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.442901Z

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 b83c8b17-d7f7-4207-9f8d-e2f1dc9fa41f · outbound

This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.433804Z

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 a13da25f-642e-42ca-acd6-721fc7a9b1a9 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.286874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32b3fa7-b9e7-4485-9bb8-363f58235f74 · outbound

This paper cites Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.296940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db82f3a-efc2-4ede-98c4-1e601e4bf402 · outbound

This paper cites MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.300812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94cc8bc0-d0de-4f9c-8b49-f8a6bc49ca4f · outbound

This paper cites Xmoe: Sparse models with fine-grained and adaptive expert se- lection.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Xmoe: Sparse models with fine-grained and adaptive expert se- lection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.409859Z

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 f0dea8cb-847c-486d-89f8-cb17503e4b1e · outbound

This paper cites Adamoe: Token- adaptive routing with null experts for mixture-of-experts language models.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Adamoe: Token- adaptive routing with null experts for mixture-of-experts language models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.400436Z

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 1f6bf3ae-769a-4653-81dd-23d6822969ca · outbound

This paper cites Mixture-of-experts with expert choice routing.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Mixture-of-experts with expert choice routing

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.390357Z

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 ebec409b-746f-4247-a1a7-098a29718c3e · outbound

This paper cites Vera: Vector-based random matrix adaptation.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Vera: Vector-based random matrix adaptation

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.523562Z

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 cac6bcff-8588-455c-955c-8556a90ec3f4 · outbound

This paper cites Glue: A multi-task benchmark and analysis platform for natural language understanding.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Glue: A multi-task benchmark and analysis platform for natural language understanding

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.419326Z

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 b4304389-fac6-48c8-a1cf-4da1303a624c · outbound

This paper cites Mul- timodal contrastive learning with limoe: the language- image mixture of experts.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Mul- timodal contrastive learning with limoe: the language- image mixture of experts

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.466505Z

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 079040a4-e268-4004-b6a7-44b7d53d6499 · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Lora: Low-rank adaptation of large language mod- els

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.551804Z

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 cb8743ae-9c25-492f-b201-204851d03ec8 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning The power of scale for parameter-efficient prompt tuning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.505038Z

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 2e061d58-8c4a-4ed8-965e-2e0a19b3470b · outbound

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

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Switch transformers: Scaling to trillion param- eter models with simple and efficient sparsity

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.223668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c68872-daee-4356-bd72-109067ede51a · outbound

This paper cites Attention is all you need.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Attention is all you need

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T00:26:05.290362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c7e156-59f2-4ce9-bcd0-9c6802229211 · outbound

This paper cites Deepseek- moe: Towards ultimate expert specialization in mixture- of-experts language models.

Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning Deepseek- moe: Towards ultimate expert specialization in mixture- of-experts language models

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:26:05.609529Z

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.

Pith citing papers

No inbound Pith citation observations are available.