Paper Citation Record · LEDGER

Higher Layers Need More LoRA Experts

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2402.08562.

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

pith.paper-citation-record.v1
2402.08562 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:56:03.291027Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.939237Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6875668e-3c71-4789-b815-b9d95d5c4f20 · inbound

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model cites this paper.

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model Higher Layers Need More LoRA Experts

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T21:56:03.291027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973c2bfd-6ec2-4ff1-9dc1-1cf1c6e73fc6 · inbound

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers cites this paper.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Higher Layers Need More LoRA Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T17:37:13.076797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4faa071-a776-4b66-9875-1c1b4d81dbda · inbound

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning cites this paper.

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning Higher Layers Need More LoRA Experts

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:13.389420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8e0c68a-df1f-49ca-be08-8d5bc520332e · inbound

MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning cites this paper.

MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning Higher Layers Need More LoRA Experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T17:26:28.333943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1e3641-3c36-4981-96da-d70770bcdfdb · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Higher Layers Need More LoRA Experts

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:35.448889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1fb75f-d861-4497-85dd-b25e8a759091 · inbound

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices cites this paper.

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices Higher Layers Need More LoRA Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T23:46:33.124256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Ensembles of Low-Rank Expert Adapters cites this paper.

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

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

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

Unavailable: canonical work link unavailable.

Observation 51c2f830-08d3-45ef-b4a7-f781cdde3760 · inbound

CoLA: Collaborative Low-Rank Adaptation cites this paper.

CoLA: Collaborative Low-Rank Adaptation Higher Layers Need More LoRA Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:52.933074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855d585b-ce32-4186-bbf4-4cdddc32c2b3 · inbound

Learning without Isolation: Pathway Protection for Continual Learning cites this paper.

Learning without Isolation: Pathway Protection for Continual Learning Higher Layers Need More LoRA Experts

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.776017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ecd604-ec6d-4fef-925c-a1031a0a9541 · inbound

Multi-objective Large Language Model Alignment with Hierarchical Experts cites this paper.

Multi-objective Large Language Model Alignment with Hierarchical Experts Higher Layers Need More LoRA Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:09.698152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e56061-ea33-4ff6-9aa1-51984a9686c1 · inbound

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts cites this paper.

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts Higher Layers Need More LoRA Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:59.713966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49ea7337-e05d-488f-b087-609f636cd751 · inbound

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation cites this paper.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Higher Layers Need More LoRA Experts

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:23.973337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498474b8-c946-4c7e-b815-d4b07503475d · inbound

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation cites this paper.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Higher Layers Need More LoRA Experts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:24.458205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 927f035b-2bee-4582-9dcb-55fb6ccceaf5 · inbound

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning cites this paper.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Higher Layers Need More LoRA Experts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:29.607588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c9ff5f-7e2f-42a9-8c68-e0658d24ca2f · inbound

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation cites this paper.

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation Higher Layers Need More LoRA Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:38.643395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78cb53e-ecd8-4330-ae44-2a3b6dd8c1c7 · inbound

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing cites this paper.

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing Higher Layers Need More LoRA Experts

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:07:14.670777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fcf0ba43-3015-4667-9060-9320f7de9ee6 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models Higher Layers Need More LoRA Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:48:48.000837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80d4de0-900f-4227-ab29-feaffb7d9317 · inbound

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging cites this paper.

CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging Higher Layers Need More LoRA Experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T19:55:05.756275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e679ef0e-87d8-442a-a1c4-4af31310560f · inbound

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization cites this paper.

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization Higher Layers Need More LoRA Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T19:52:19.278388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36cc4a16-0943-46c5-8820-9362d59c7c8a · inbound

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization cites this paper.

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization Higher Layers Need More LoRA Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T02:39:00.957520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee45ac8-fc38-4437-8a07-8712a4686690 · inbound

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning cites this paper.

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning Higher Layers Need More LoRA Experts

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T20:06:13.149301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d169aedd-df62-4284-9048-79828452feca · inbound

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning cites this paper.

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning Higher Layers Need More LoRA Experts

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:24.524216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c5db77a-31fa-47e5-89f7-550eaf5e78ea · inbound

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts cites this paper.

TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts Higher Layers Need More LoRA Experts

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:52.561959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 955d6fda-95a0-4afb-9952-f0d4d4d05953 · inbound

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning cites this paper.

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning Higher Layers Need More LoRA Experts

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:51.047946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 297a0cf2-0827-47cf-b808-ea44b4abd053 · inbound

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning cites this paper.

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning Higher Layers Need More LoRA Experts

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:09:07.097860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a056dbb3-2408-4111-9eec-fb364d9997a9 · inbound

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE cites this paper.

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE Higher Layers Need More LoRA Experts

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:13:13.610080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 447c60b5-f5cd-4bf7-b574-71ff431dd938 · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Higher Layers Need More LoRA Experts

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:37.940556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.