Paper Citation Record · LEDGER

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation

As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2411.15224.

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

pith.paper-citation-record.v1
2411.15224 v3

Coverage vector

measured 53 of 53 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T22:20:38.938305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:23:21.364166Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 3d21cc9b-8c8f-4998-891b-0f036b792bbb · outbound

This paper cites Mtlora: Low-rank adaptation approach for efficient multi-task learn- ing.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Mtlora: Low-rank adaptation approach for efficient multi-task learn- ing

Reference 1

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Observation bdb68bd1-1a9e-4f00-bc7e-41e59e4372e4 · outbound

This paper cites Language Models are Few-Shot Learners.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Language Models are Few-Shot Learners

Reference 2

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Observation 0a253f6f-a9c0-45b7-ba10-ea965328e281 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.Advances in Neural Information Processing Systems, 35:16664–16678,.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Adaptformer: Adapting vision transformers for scalable visual recognition.Advances in Neural Information Processing Systems, 35:16664–16678,

Reference 3

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Observation 9ff1d19f-be73-40f1-bc89-abd9fdacfd9b · outbound

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

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 4

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Observation c8a6dd0e-5734-4e51-8b78-a2b1b181f768 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 5

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Observation 8f951f58-1aa7-45ca-8cb2-ee26c8de5934 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Imagenet: A large-scale hierarchical image database

Reference 6

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Observation 0bcd9602-5f1e-4fd0-ade2-1242c8c196df · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Qlora: Efficient finetuning of quantized llms

Reference 7

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Observation 86e26b09-d16c-4fd6-ae08-e4e8e843529c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation d3caf316-bd71-4844-8082-c6010bafd8d7 · outbound

This paper cites Dimba: Transformer-Mamba Diffusion Models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Dimba: Transformer-Mamba Diffusion Models

Reference 9

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Observation c863898b-e247-41a0-a07e-03cbfe58e0b0 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 10

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Observation 84cc184e-d7b8-4830-8229-89c8fe1c7f19 · outbound

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

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 11

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Observation 6a738d32-948e-48aa-a382-1aac2b418727 · outbound

This paper cites Zamba: A Compact 7B SSM Hybrid Model.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Zamba: A Compact 7B SSM Hybrid Model

Reference 12

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Observation 1c3734a6-6760-484b-8578-faa008e7a3d3 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 13

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Observation a2128bc4-d575-4791-91a6-6c994f10ef78 · outbound

This paper cites Efficiently mod- eling long sequences with structured state spaces.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Efficiently mod- eling long sequences with structured state spaces

Reference 14

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Observation 5de33315-5ceb-47b1-8a3b-14b052518f87 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 15

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Observation f602f9a3-3bde-4c30-b546-064543652006 · outbound

This paper cites Diagonal state spaces are as effective as structured state spaces.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Diagonal state spaces are as effective as structured state spaces

Reference 16

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Observation fbbbe10b-3898-48eb-a20d-178ae4c6797e · outbound

This paper cites Mamba State-Space Models Are Lyapunov-Stable Learners.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Mamba State-Space Models Are Lyapunov-Stable Learners

Reference 17

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Observation b0004f87-51bf-4eaf-8626-52b9e2846f22 · outbound

This paper cites Diffusion Model Patching via Mixture-of-Prompts.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Diffusion Model Patching via Mixture-of-Prompts

Reference 18

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Observation 8e9c65c5-cca4-4fd0-be86-6621b967a795 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Parameter-efficient transfer learning for nlp

Reference 19

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Observation 98e0ac00-5369-4f64-8661-dea78e4f0177 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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This paper cites Long movie clip classification with state-space video models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Long movie clip classification with state-space video models

Reference 21

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Vi- sual prompt tuning

Reference 22

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation A new approach to linear filter- ing and prediction problems

Reference 23

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation VeRA: Vector-based Random Matrix Adaptation

Reference 24

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation 3d object representations for fine-grained categorization

Reference 25

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Observation 87148862-3997-476b-8ed9-ea9b61176f45 · outbound

This paper cites Multi-concept customization of text- to-image diffusion.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Multi-concept customization of text- to-image diffusion

Reference 26

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Observation fcedf0c6-412f-4bc2-bbc1-7e9757fd4361 · outbound

This paper cites Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Reference 27

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Caltech 101, 2022

Reference 28

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 29

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 30

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Pay attention to mlps

Reference 31

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 32

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation VMamba: Visual State Space Model

Reference 33

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 34

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation S4nd: Modeling images and videos as multidimensional signals with state spaces

Reference 35

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Automated flower classification over a large number of classes

Reference 36

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Videomamba: Spatio-temporal se- lective state space model

Reference 37

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Controlling text-to-image diffusion by orthogo- nal finetuning

Reference 38

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This paper cites Robust speech recognition via large-scale weak supervision.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Robust speech recognition via large-scale weak supervision

Reference 39

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Observation b56b1253-ccd6-4f37-b418-c795b80004f5 · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 40

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Winogrande: An adversarial winograd schema challenge at scale

Reference 41

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Observation 165f5416-1c8f-4b5e-8b4e-7193e9a552f0 · outbound

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Simplified State Space Layers for Sequence Modeling

Reference 42

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 43

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation LLaMA: Open and Efficient Foundation Language Models

Reference 44

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Attention is all you need

Reference 45

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Observation 560b0728-7f0a-460b-b35a-2707f6e381ce · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Sun database: Large-scale scene recognition from abbey to zoo

Reference 46

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Difffit: Un- locking transferability of large diffusion models via sim- ple parameter-efficient fine-tuning

Reference 47

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Observation 2a26e377-0fec-4d6a-8f78-d36e911e7fc2 · outbound

This paper cites Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Bitfit: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 48

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 49

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Side-tuning: a baseline for net- work adaptation via additive side networks

Reference 50

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Observation 438baa1e-81c8-4091-bd74-9e1991893572 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Adding conditional control to text-to-image diffusion models

Reference 51

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Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 52

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Observation 9dc8e39b-7bc2-49e3-82fd-0a98b7046150 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 53

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Pith citing papers

Observation 84e9de65-4d8f-46df-8b8c-0cd011d268cf · inbound

S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models cites this paper.

S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation

Reference 7

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