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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.05713.

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

pith.paper-citation-record.v1
2506.05713 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:26.877420Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

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Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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  • verified fuzzy5
  • unresolved23
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External citation measurements

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Outbound references

Observation 8eebd45c-6eff-4f0f-8d9d-8931f1a1620b · outbound

This paper cites For image classification, we follow Zanella & Ben Ayed (2024) and use 11 datasets: • Aircraft (Maji et al.,.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation For image classification, we follow Zanella & Ben Ayed (2024) and use 11 datasets: • Aircraft (Maji et al.,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 225f1d97-2d6f-47c0-aaa2-f54563d0c6fa · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Fine-Grained Visual Classification of Aircraft

Reference 10

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Observation 032d112b-a3c7-416d-8f89-afd2b032e7cd · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 11

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Observation 43ff44c6-0a25-4119-8d88-af42f934768f · outbound

This paper cites The Llama 3 Herd of Models.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation The Llama 3 Herd of Models

Reference 13

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Observation eec7f1d8-436c-49dc-a721-b51072edbd07 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation SocialIQA: Commonsense Reasoning about Social Interactions

Reference 14

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Observation ce908988-1a89-44c9-9a2f-936fe11f5619 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 15

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Observation 9878c4b4-45a2-4103-b554-b5097fe58b50 · outbound

This paper cites LoRA Meets Dropout under a Unified Framework.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation LoRA Meets Dropout under a Unified Framework

Reference 17

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Observation 7b74082c-aecc-4bcd-8259-7965c0e4b1ad · outbound

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

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 18

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Observation c57aa437-3d80-4c92-a19d-af80e240946c · outbound

This paper cites LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning

Reference 19

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Observation f569e7f1-9eec-492b-aa82-2a1c9e939dfc · outbound

This paper cites an unresolved cited work.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4d0f6acf-bf3e-499a-9d75-7b7e5308fea2 · outbound

This paper cites For language understanding, we follow Zhao et al.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation For language understanding, we follow Zhao et al

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f895f821-39ad-426b-85e3-287beb387eef · outbound

This paper cites an unresolved cited work.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8a12de30-0f32-4e5d-8992-36444a8ba97f · outbound

This paper cites an unresolved cited work.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3d2f87aa-c93f-4aed-8174-e484cd7ded0f · outbound

This paper cites an unresolved cited work.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2367702d-7f5f-43b6-8088-6cd39c480436 · outbound

This paper cites lazy training.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation lazy training

Reference 27

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0d9cf6d7-f385-4525-97c9-2256700db091 · outbound

This paper cites Merging accuracy is measured at λ = 0.5.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Merging accuracy is measured at λ = 0.5

Reference 28

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c0cf1a1c-4be4-4449-9185-d5fbebf4236c · outbound

This paper cites Gradient Descent Provably Optimizes Over-parameterized Neural Networks.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Gradient Descent Provably Optimizes Over-parameterized Neural Networks

Reference 2005

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Observation a1cd9806-af3a-4632-b44b-12b5dce9befe · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Dropout: a simple way to prevent neural networks from overfitting

Reference 2012

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Observation 0e14ef25-27f8-4830-b617-2e54a8fedf31 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2013

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Observation f53da7a2-7a81-4b04-94a1-5d2d20c89ef0 · outbound

This paper cites A large annotated corpus for learning natural language inference.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation A large annotated corpus for learning natural language inference

Reference 2014

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Observation 5e34c846-0eb4-4067-8b6f-b31b9a913748 · outbound

This paper cites an unresolved cited work.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Unresolved cited work

Reference 2016

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Observation 67c6e479-d997-437b-859e-07982c3fa5a6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Training Verifiers to Solve Math Word Problems

Reference 2018

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Observation 33d5a026-2019-41d9-a3f0-7c4d3aab1441 · outbound

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

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

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

This paper cites Higher Layers Need More LoRA Experts.

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

Reference 2020

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Observation 0a02ca4b-0986-4c10-a5b1-f3a3bbadb8d8 · outbound

This paper cites LoRA Dropout as a Sparsity Regularizer for Overfitting Control.

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation LoRA Dropout as a Sparsity Regularizer for Overfitting Control

Reference 2021

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Observation 75878931-2665-4e4d-b2e7-2494b4d9cdde · outbound

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

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 2023

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Observation 902e4503-cb67-4aae-b869-e5068821f34a · outbound

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

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2024

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Observation 40a918ac-6020-4624-81b5-8b9542892f3d · outbound

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

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 2025

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Pith citing papers

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