Paper Citation Record · LEDGER

Enhancing Neural Function Approximation: The XNet Outperforming KAN

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.18959.

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

pith.paper-citation-record.v1
2501.18959 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:54:20.893092Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T04:21:03.219274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:22:31.115078Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy2
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3fb3340-6ce3-43bb-b3f1-d8d77a113321 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Enhancing Neural Function Approximation: The XNet Outperforming KAN KAN: Kolmogorov-Arnold Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.866688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef22652f-ba75-4aa2-ba05-0122686d3d09 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

Enhancing Neural Function Approximation: The XNet Outperforming KAN Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.885809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e3fe30e-dd1b-4397-a989-8323317d0ec7 · outbound

This paper cites On the training of a kolmogorov network.

Enhancing Neural Function Approximation: The XNet Outperforming KAN On the training of a kolmogorov network

Reference 1956

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:54:21.247032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c6895df-6d05-4a4b-8add-440b7fadf40e · outbound

This paper cites The kolmogorov superposition theorem can break the curse of dimen- sionality when approximating high dimensional functions.

Enhancing Neural Function Approximation: The XNet Outperforming KAN The kolmogorov superposition theorem can break the curse of dimen- sionality when approximating high dimensional functions

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.858350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5ece18-bb93-45d9-a9b5-d2d4c632d11a · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Enhancing Neural Function Approximation: The XNet Outperforming KAN Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.836389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f35d1b9-9e10-4416-9438-41f1abde8a4c · outbound

This paper cites Review of deep reinforcement learning for robot manipulation.

Enhancing Neural Function Approximation: The XNet Outperforming KAN Review of deep reinforcement learning for robot manipulation

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:54:21.234385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38c24cf5-97c6-4b25-a78f-cf6192c3bf0c · outbound

This paper cites Cauchy activation function and XNet.

Enhancing Neural Function Approximation: The XNet Outperforming KAN Cauchy activation function and XNet

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.862433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4524c4-47f4-4e83-becf-d12be3a35541 · outbound

This paper cites URL https://www.sciencedirect.com/science/article/pii/S0021999118305525.

Enhancing Neural Function Approximation: The XNet Outperforming KAN URL https://www.sciencedirect.com/science/article/pii/S0021999118305525

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.878133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19942947-1562-419e-8704-d663f2feab24 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Enhancing Neural Function Approximation: The XNet Outperforming KAN Proximal Policy Optimization Algorithms

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.873947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f2d3066-4d99-4a34-a0ab-eb8ed2c4e85b · outbound

This paper cites URL https://www.nature.com/articles/ s42256-021-00302-5.

Enhancing Neural Function Approximation: The XNet Outperforming KAN URL https://www.nature.com/articles/ s42256-021-00302-5

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.849927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245b6858-ca10-466e-9d20-63a6a1f34d04 · outbound

This paper cites TKAN: Temporal Kolmogorov-Arnold Networks.

Enhancing Neural Function Approximation: The XNet Outperforming KAN TKAN: Temporal Kolmogorov-Arnold Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.841614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300c6392-67f3-4480-97f3-89d813fcaff5 · outbound

This paper cites PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks.

Enhancing Neural Function Approximation: The XNet Outperforming KAN PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.893092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff2d660-5823-4f1d-9533-38ca483d54e5 · outbound

This paper cites Mastering Diverse Domains through World Models.

Enhancing Neural Function Approximation: The XNet Outperforming KAN Mastering Diverse Domains through World Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T21:54:20.845851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 93939afd-5783-46ec-bdfa-851ef3acc932 · inbound

XNet-Enhanced Deep BSDE Method and Numerical Analysis cites this paper.

XNet-Enhanced Deep BSDE Method and Numerical Analysis Enhancing Neural Function Approximation: The XNet Outperforming KAN

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:22:31.117096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.