Paper Citation Record · LEDGER

Improving Memory Efficiency for Training KANs via Meta Learning

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2506.07549.

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

pith.paper-citation-record.v1
2506.07549 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:58.195179Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:35:36.825962Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:57.460485Z

Reference resolution

26 of 26 outbound references displayed

verified exact3
verified fuzzy4
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b32ab69f-2176-437d-a870-18779ed84d2f · outbound

This paper cites rKAN: Rational Kolmogorov-Arnold Networks.

Improving Memory Efficiency for Training KANs via Meta Learning rKAN: Rational Kolmogorov-Arnold Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.656869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f541081c-b408-4d22-87b3-01bb57994b1e · outbound

This paper cites an unresolved cited work.

Improving Memory Efficiency for Training KANs via Meta Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:37:59.482102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5c4f6af-9367-4412-9182-60f41967e8c1 · outbound

This paper cites KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.

Improving Memory Efficiency for Training KANs via Meta Learning KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.677191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7588c063-0764-4005-9ae6-1fc903ab3248 · outbound

This paper cites B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Improving Memory Efficiency for Training KANs via Meta Learning B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:38:00.168872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f517450f-e9d2-4844-bf2d-043ce0959e39 · outbound

This paper cites an unresolved cited work.

Improving Memory Efficiency for Training KANs via Meta Learning Unresolved cited work

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:37:58.422737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed14514b-bc32-4636-ac8c-d1b4e7cb684e · outbound

This paper cites TKAN: Temporal Kolmogorov-Arnold Networks.

Improving Memory Efficiency for Training KANs via Meta Learning TKAN: Temporal Kolmogorov-Arnold Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.717609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bcf6fc1-fe3a-4055-ada9-211c917b2981 · outbound

This paper cites an unresolved cited work.

Improving Memory Efficiency for Training KANs via Meta Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:37:59.612192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c9c3a67-d668-4a29-a7f7-519f99f555a4 · outbound

This paper cites TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting.

Improving Memory Efficiency for Training KANs via Meta Learning TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.731917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c36cd2e-4360-457c-9204-e70d25caec1f · outbound

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

Improving Memory Efficiency for Training KANs via Meta Learning U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.738769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e805651-baf8-42e3-a73f-bbd7c3cb51de · outbound

This paper cites Kolmogorov-Arnold Networks are Radial Basis Function Networks.

Improving Memory Efficiency for Training KANs via Meta Learning Kolmogorov-Arnold Networks are Radial Basis Function Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.747416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64465cec-7880-429c-9366-ac07139d70fe · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Improving Memory Efficiency for Training KANs via Meta Learning KAN: Kolmogorov-Arnold Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.756064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001f90e7-b466-44c1-a280-464ac4673ba7 · outbound

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

Improving Memory Efficiency for Training KANs via Meta Learning On the expressiveness and spectral bias of KANs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.805040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa65dc9d-6080-41f3-9282-417da9ceac2f · outbound

This paper cites Kolmogorov-Arnold Transformer.

Improving Memory Efficiency for Training KANs via Meta Learning Kolmogorov-Arnold Transformer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.815243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 275382d6-f684-4bf7-b835-1e60e3a3e6cc · outbound

This paper cites doi: https://doi.org/10.1016/j.jcp.2022.111232.

Improving Memory Efficiency for Training KANs via Meta Learning doi: https://doi.org/10.1016/j.jcp.2022.111232

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.827974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d043c9e3-03a2-4fc3-a6ac-d593b1051ebc · outbound

This paper cites Meta-learning via hypernetworks.

Improving Memory Efficiency for Training KANs via Meta Learning Meta-learning via hypernetworks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:59.907980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87888f77-bd94-42d3-abf4-97b5307c04a1 · outbound

This paper cites Unlike conventional convolution kernels, Kolmogorov- Arnold (KA) kernels consist of a set of univariate non- linear learnable activation functions.

Improving Memory Efficiency for Training KANs via Meta Learning Unlike conventional convolution kernels, Kolmogorov- Arnold (KA) kernels consist of a set of univariate non- linear learnable activation functions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:59.753837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d58dda2-0762-4fc3-9ee9-42074f87e7ac · outbound

This paper cites an unresolved cited work.

Improving Memory Efficiency for Training KANs via Meta Learning Unresolved cited work

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:37:58.664316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d36ac2e-13c4-4465-a929-b7f2fc915dfb · outbound

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

Improving Memory Efficiency for Training KANs via Meta Learning Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.695872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e1789b-141f-41f3-9c47-06c58f652cef · outbound

This paper cites KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks.

Improving Memory Efficiency for Training KANs via Meta Learning KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks

Reference 1990

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:59.250896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62e7690d-5284-4d08-a059-aa4c1f9d84bc · outbound

This paper cites KAC: Kolmogorov-Arnold Classifier for Continual Learning.

Improving Memory Efficiency for Training KANs via Meta Learning KAC: Kolmogorov-Arnold Classifier for Continual Learning

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.726888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b49bbd5-a197-4775-b0ef-d2466032c049 · outbound

This paper cites Small Sample Learning in Big Data Era.

Improving Memory Efficiency for Training KANs via Meta Learning Small Sample Learning in Big Data Era

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.775023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6afdd866-2898-45d0-b0cb-7b3aec543f79 · outbound

This paper cites F., and Sacra- mento, J.

Improving Memory Efficiency for Training KANs via Meta Learning F., and Sacra- mento, J

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:38:00.048203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8f4434e-9f78-4983-bd5e-b2d06d6308e1 · outbound

This paper cites Finding Local Diffusion Schr\"odinger Bridge using Kolmogorov-Arnold Network.

Improving Memory Efficiency for Training KANs via Meta Learning Finding Local Diffusion Schr\"odinger Bridge using Kolmogorov-Arnold Network

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:58.959185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3fc60028-e5e4-4e49-a828-79edc49b8e78 · outbound

This paper cites Convolutional Kolmogorov-Arnold Networks.

Improving Memory Efficiency for Training KANs via Meta Learning Convolutional Kolmogorov-Arnold Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.663779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87d31c6-9673-4b3b-896f-2f7c55182e7b · outbound

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

Improving Memory Efficiency for Training KANs via Meta Learning Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.783908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd81f216-6106-401e-8b95-2d85642ab59f · outbound

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

Improving Memory Efficiency for Training KANs via Meta Learning Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:57.669710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2a998cd9-59c3-43cc-ad23-2a7875a09237 · inbound

Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs cites this paper.

Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs Improving Memory Efficiency for Training KANs via Meta Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.461978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.