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Paper Citation Record · LEDGER

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2502.06153.

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

pith.paper-citation-record.v1
2502.06153 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:37:05.962265Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:50:32.424797Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:50:32.775614Z

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 8a385476-1a5c-4cb5-afec-5b02e6b4aefc · outbound

This paper cites KAN: Kolmogorov–Arnold networks,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks KAN: Kolmogorov–Arnold networks,

Reference 1

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Observation 4089551f-6d93-4b2d-bafc-b46bb8589b90 · outbound

This paper cites U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 2

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Observation 8d425d3a-d64e-4c2e-993b-d5335301ece3 · outbound

This paper cites Kolmogorov-Arnold networks for online reinforcement learning,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Kolmogorov-Arnold networks for online reinforcement learning,

Reference 3

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Observation 6bde0278-401a-4b34-bc0d-0aabe3da23a1 · outbound

This paper cites A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networks,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networks,

Reference 4

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Observation 55e55334-1c3e-42b1-94cc-4a1ee9da650d · outbound

This paper cites SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks

Reference 5

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Observation 16418f4a-9dc4-4b09-aa24-f11acbaad907 · outbound

This paper cites A comprehensive and fair comparison between MLP and KAN repre- sentations for differential equations and operator networks,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks A comprehensive and fair comparison between MLP and KAN repre- sentations for differential equations and operator networks,

Reference 6

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Observation 3783d5de-c633-415e-bbe8-a20e08afc6d7 · outbound

This paper cites Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability

Reference 7

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Observation 41cd99f5-da04-4565-9165-ff6264cf6065 · outbound

This paper cites A Survey on Kolmogorov-Arnold Network.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks A Survey on Kolmogorov-Arnold Network

Reference 8

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Observation 71a59664-66f6-4fe9-b094-64564a184c18 · outbound

This paper cites HyperKAN: Kolmogorov– Arnold networks make hyperspectral image classifiers smarter,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks HyperKAN: Kolmogorov– Arnold networks make hyperspectral image classifiers smarter,

Reference 9

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Observation ef694d4b-3929-433d-b7b0-ab82cebed4b6 · outbound

This paper cites KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks

Reference 10

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Observation 9e803d1d-6c82-4e8b-be57-9f84c7b63a00 · outbound

This paper cites On the expressiveness and spectral bias of KANs.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks On the expressiveness and spectral bias of KANs

Reference 11

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Observation 29337978-e2f9-40ca-98f0-1939ccd5daf1 · outbound

This paper cites Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Implicit Neural Representations with Fourier Kolmogorov-Arnold Networks

Reference 12

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Observation 5ba49a8f-3f5a-4fce-9802-f6e0bc871686 · outbound

This paper cites Finite basis Kolmogorov-Arnold networks: domain decomposi- tion for data-driven and physics-informed problems,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Finite basis Kolmogorov-Arnold networks: domain decomposi- tion for data-driven and physics-informed problems,

Reference 13

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Observation b5dec433-822f-4ebd-a95a-cf998f274348 · outbound

This paper cites Adaptive training of grid-dependent physics-informed Kolmogorov-Arnold networks,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Adaptive training of grid-dependent physics-informed Kolmogorov-Arnold networks,

Reference 14

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Observation 37be1303-ef61-4f44-91c6-02534f39183e · outbound

This paper cites Kanqas: Kolmogorov-Arnold network for quantum architecture search,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Kanqas: Kolmogorov-Arnold network for quantum architecture search,

Reference 15

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Observation b11dcedd-7654-4e39-80d6-95195c278698 · outbound

This paper cites Convolutional Kolmogorov-Arnold Networks.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Convolutional Kolmogorov-Arnold Networks

Reference 16

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Observation e7bf4585-40a8-43b9-9a55-3273aba4c3dd · outbound

This paper cites Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies

Reference 17

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Observation 5b294b80-b252-48fe-a2bd-dd66af121199 · outbound

This paper cites Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 18

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Observation f553ab80-35eb-4562-bf5f-a3cacd7bd463 · outbound

This paper cites Legendre-KAN : High accuracy KA network based on Legendre polynomials,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Legendre-KAN : High accuracy KA network based on Legendre polynomials,

Reference 19

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Observation fcd5b1e7-58d0-43cb-a458-bb0d0cf469f7 · outbound

This paper cites Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 20

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Observation 17084041-c487-4cb7-9250-2126334c1906 · outbound

This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 21

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Observation d5572f8f-9bb8-4e86-9d33-9e92db0120f0 · outbound

This paper cites Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials

Reference 22

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Observation 528f187f-2b97-44f3-a0d1-97c381d19151 · outbound

This paper cites rKAN: Rational Kolmogorov-Arnold Networks.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks rKAN: Rational Kolmogorov-Arnold Networks

Reference 23

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Observation af0dbe1d-6e97-418e-8401-8860b0ab0a2d · outbound

This paper cites fKAN: Fractional Kolmogorov-Arnold networks with trainable Jacobi basis functions,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks fKAN: Fractional Kolmogorov-Arnold networks with trainable Jacobi basis functions,

Reference 24

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Observation c2efd326-c8a8-4267-abad-c7edd72682f7 · outbound

This paper cites Hyperspectral image denoising based on global and nonlocal low-rank factorizations,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Hyperspectral image denoising based on global and nonlocal low-rank factorizations,

Reference 25

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Observation 85d4efc0-05d9-409b-9efe-465dbbbfce7a · outbound

This paper cites Nonlocal low-rank regularized tensor decomposition for hyperspectral image denoising,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Nonlocal low-rank regularized tensor decomposition for hyperspectral image denoising,

Reference 26

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Observation d26900c9-e758-4eed-8fb7-6933e23f4d0e · outbound

This paper cites Smooth PARAFAC decomposi- tion for tensor completion,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Smooth PARAFAC decomposi- tion for tensor completion,

Reference 27

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Observation c4ed57ea-9b26-46a4-8882-0128515a7b85 · outbound

This paper cites Bayesian temporal factorization for multidimen- sional time series prediction,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Bayesian temporal factorization for multidimen- sional time series prediction,

Reference 28

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Observation 79cf86b2-8fd6-47cc-b1c1-cec6e29ce219 · outbound

This paper cites A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,

Reference 29

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Observation 1aee7e62-055d-40b7-9e43-bd004488d989 · outbound

This paper cites Tensor decomposition for signal processing and machine learning,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Tensor decomposition for signal processing and machine learning,

Reference 30

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Observation a3d6d888-15a7-4c92-8a76-050da8586b68 · outbound

This paper cites Tensor decompositions for identifying directed graph topologies and tracking dynamic networks,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Tensor decompositions for identifying directed graph topologies and tracking dynamic networks,

Reference 31

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Observation 07ba3ced-fbab-4d53-912d-dc2527dfeea2 · outbound

This paper cites Implications of factor analysis of three-way matrices for measurement of change,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Implications of factor analysis of three-way matrices for measurement of change,

Reference 32

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Observation efd49dc3-6a11-401c-abbc-284b6774ee60 · outbound

This paper cites Towards a standardized notation and terminology in multi- way analysis,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Towards a standardized notation and terminology in multi- way analysis,

Reference 33

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Observation b4db60a3-f531-45ad-a9d7-f30a58dd9a6f · outbound

This paper cites Robust tensor completion using transformed tensor singular value decomposition,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Robust tensor completion using transformed tensor singular value decomposition,

Reference 34

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Observation 6900d86e-df76-43c8-b42c-532d07d35e0d · outbound

This paper cites Factorization strategies for third-order tensors,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Factorization strategies for third-order tensors,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3215ff6e-4eaf-40f8-a35c-5b6ffd1e98f2 · outbound

This paper cites CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.572142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 113d1bdd-21cc-43ef-b932-78a79f5700a1 · outbound

This paper cites PARAFAC2: Mathematical and technical notes,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks PARAFAC2: Mathematical and technical notes,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.559790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 79794913-5609-424c-b6e0-10f44f977cbe · outbound

This paper cites A multilinear singular value decomposition,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks A multilinear singular value decomposition,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.547321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation be270acd-2f0c-4cdf-9e4d-f8071ca74269 · outbound

This paper cites Multitask learning,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Multitask learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.535313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 92ebbd98-13bc-4ac6-a5c1-40b9822ea0aa · outbound

This paper cites A survey on multi-task learning,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks A survey on multi-task learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.524004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:37:05.933776Z digest=sha256:2b393b02b0f4b39d848101166fc1e6fb718e856b49affec918944dd174df881b

Observation 637c8093-b2b3-4569-9573-884daeccea9a · outbound

This paper cites Domain adaptation with multiple sources,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Domain adaptation with multiple sources,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.511955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:37:05.938244Z digest=sha256:8bd1eabfb07b21d4d784d463080b1ef8cf384509ad89ce6e01d4f351ceaf55bf

Observation 8b8c89d2-f869-47cf-8719-5d9ada185a11 · outbound

This paper cites Frustratingly easy domain adaptation,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Frustratingly easy domain adaptation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.500000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:37:05.942865Z digest=sha256:539f0f68618cad68a405bb519e7d8c650bc9ca59781f6f5c74794abf45ee6a0e

Observation 69935727-bf83-4c24-bf44-a80f1c19f63a · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks LoRA: Low-rank adaptation of large language models,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T16:37:05.946719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:37:05.946719Z digest=sha256:cb13fcdc99bed71ea8e9179eb623fb3c8b65f0bf8a1ed36cb0b2a2684a79fa49

Observation 064b949d-e561-41a9-a2ac-60dd2977b75e · outbound

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

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks LoRA+: Efficient low rank adaptation of large models,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:37:06.481133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T16:37:05.950439Z digest=sha256:8f459385e1ac7dc5801f2c3d2cd4ac92456d7e209b2da4491c679c6087d8d0d4

Observation 6d527b2f-bf43-41e5-81b6-596e8173d85a · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T16:37:05.954080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:37:05.954080Z digest=sha256:0e1bc184e93d0d21281fd0c60cfef56649706ecd9c32a14733cae6210ee11628

Observation 485a4149-3d27-4e72-93d4-412b8f21533e · outbound

This paper cites Deep residual learning for image recognition,.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Deep residual learning for image recognition,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T16:37:05.958548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:37:05.958548Z digest=sha256:1347327af725a8367d4955041765a1f0a531f11b45e4543028fa1a72750141d4

Observation d63ee3ec-4128-4175-92be-5e6518d94d06 · outbound

This paper cites KAN or MLP: A Fairer Comparison.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks KAN or MLP: A Fairer Comparison

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T16:37:05.962265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:37:05.962265Z digest=sha256:67103c8d85e8d7faf1b270629efcaf98df239046dd93fb072cd1efb67c9b82d3

Observation 04729571-5f5b-498a-a49f-a73530083c6e · outbound

This paper cites Available: https://openreview.net/forum?id=Ozo7qJ5vZi.

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks Available: https://openreview.net/forum?id=Ozo7qJ5vZi

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-08T16:37:05.780754Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:37:05.780754Z digest=sha256:f5e25cf404d0745dbe59f7dffd0ab57159f71b093ec40ec119f52bdffd196c91

Pith citing papers

Observation 2fa23cd2-d967-41cd-919d-c03bc4818702 · inbound

Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization cites this paper.

Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:50:32.783182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:50:32.424797Z digest=sha256:f4c21a16f4babcb530c2bc40cd8539ef4ab580e162fd51e95a23d6b97a17caf4