Paper Citation Record · LEDGER

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.08389.

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

pith.paper-citation-record.v1
1908.08389 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:55:35.192841Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact5
verified fuzzy23
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1cac4fa-f523-4da6-a200-99763d426b1c · outbound

This paper cites Rafp-pred: Robust prediction of antifreeze proteins using localized analysis of n-peptide compositions,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Rafp-pred: Robust prediction of antifreeze proteins using localized analysis of n-peptide compositions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.641933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 149698ec-f55a-47fd-b924-943c44e64cb9 · outbound

This paper cites Ecmsrc: A sparse learning approach for the prediction of extracellular matrix proteins,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Ecmsrc: A sparse learning approach for the prediction of extracellular matrix proteins,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.631017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40763304-2ab3-4fc0-862f-e35cc2f52949 · outbound

This paper cites Efﬁcient b-mode ultrasound image reconstruction from sub-sampled rf data using deep learning,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Efﬁcient b-mode ultrasound image reconstruction from sub-sampled rf data using deep learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.618107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c9f3232-e962-4106-b284-1c5714852b5c · outbound

This paper cites Neural networks for control of industrial processes,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Neural networks for control of industrial processes,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.603755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4eb55afe-2803-4e4a-be6b-e0627c9f11c9 · outbound

This paper cites A mathematical framework for deep learning in elastic source imaging,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks A mathematical framework for deep learning in elastic source imaging,

Reference 5

Resolution: verified exact; doi, observed 2026-08-14T12:55:35.227966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8cb273f6-d90e-46fa-a0c7-d5c73fd8c88f · outbound

This paper cites A novel fractional gradient-based learning algorithm for recurrent neural networks,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks A novel fractional gradient-based learning algorithm for recurrent neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.592157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9cc6052b-95b9-420e-91bb-66b8520587bb · outbound

This paper cites Nonlinear system identiﬁcation based on radial basis function neural network using improved particle swarm optimization,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Nonlinear system identiﬁcation based on radial basis function neural network using improved particle swarm optimization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.580068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47cb0a3e-61ed-495f-9bff-1598bc1e69a4 · outbound

This paper cites A novel adaptive kernel for the rbf neural networks,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks A novel adaptive kernel for the rbf neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.556738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b73fc5b7-0b7d-44d4-abdf-49849a7684ff · outbound

This paper cites A fractional gradient descent-based rbf neural network,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks A fractional gradient descent-based rbf neural network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.568679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bfc6ab7-4753-4766-9fd6-bb70b35cf304 · outbound

This paper cites VP- FLMS: a novel variable power fractional LMS algorithm,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks VP- FLMS: a novel variable power fractional LMS algorithm,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.545882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c42e695-52da-4399-a971-0a6bd0ac6a8c · outbound

This paper cites A robust variable step size fractional least mean square (rvss- ﬂms) algorithm,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks A robust variable step size fractional least mean square (rvss- ﬂms) algorithm,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.533909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9031533-cda1-4cc7-94d9-5c15c8fd7859 · outbound

This paper cites Rvp- ﬂms : A robust variable power fractional lms algorithm,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Rvp- ﬂms : A robust variable power fractional lms algorithm,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.522599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a651bc97-e3db-4ae5-9505-61f973e3f8f7 · outbound

This paper cites Fclms: Fractional complex lms algorithm for complex system identiﬁcation,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Fclms: Fractional complex lms algorithm for complex system identiﬁcation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.511232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 224a6385-e6e9-4d34-a3bb-25e4292488f6 · outbound

This paper cites Flmf: Fractional least mean fourth algorithm for channel esti- mation in non-gaussian environment,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Flmf: Fractional least mean fourth algorithm for channel esti- mation in non-gaussian environment,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.498951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c21de628-86c1-4745-b08c-19fda93eb993 · outbound

This paper cites Comments on "Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization".

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Comments on "Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization"

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:55:35.358887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b85220c4-addf-4f9b-aa3b-0fbad8192491 · outbound

This paper cites Comments on "Momentum fractional LMS for power signal parameter estimation".

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Comments on "Momentum fractional LMS for power signal parameter estimation"

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:55:35.342401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02c7fa1f-bdf8-474e-a787-7d3a5cf54a20 · outbound

This paper cites Comments and corrections comments on“fractional extreme value adaptive training method: Fractional steepest descent approach.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Comments and corrections comments on“fractional extreme value adaptive training method: Fractional steepest descent approach

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.487174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40bbe632-5cda-4a87-b546-19fa96de8a16 · outbound

This paper cites An adaptive learning rate for rbfnn using time-domain feedback analysis,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks An adaptive learning rate for rbfnn using time-domain feedback analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.476032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 99580685-7bf4-4657-915b-af83138420c0 · outbound

This paper cites A Novel Kernel for RBF Based Neural Networks,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks A Novel Kernel for RBF Based Neural Networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.464931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eeab409d-aad3-4812-87e5-f401edc2f52f · outbound

This paper cites On the kernel optimization of radial basis function using nelder mead simplex,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks On the kernel optimization of radial basis function using nelder mead simplex,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.453763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60b28429-9cd5-428e-bd0d-37d717305178 · outbound

This paper cites The peri- saccadic perception of objects and space,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks The peri- saccadic perception of objects and space,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-14T12:55:35.323861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44e2c9e4-b639-4232-baa7-664a6509e9c2 · outbound

This paper cites Learning spatio-temporal information for multi-object tracking,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Learning spatio-temporal information for multi-object tracking,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.442620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edf2c893-aca0-4605-8dd5-1c2498b47107 · outbound

This paper cites Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.431694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f96348e1-34c2-4328-af9a-bebca84c2b39 · outbound

This paper cites Haykin, Neural Networks: A Comprehensive Foundation , 2nd ed.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Haykin, Neural Networks: A Comprehensive Foundation , 2nd ed

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.419242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7478ddbd-b531-44f0-ad51-f39859de4508 · outbound

This paper cites Topological sensitivity based far-ﬁeld detection of elastic inclusions,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Topological sensitivity based far-ﬁeld detection of elastic inclusions,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.406795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d9402e04-f04e-4622-862b-88cd97b43485 · outbound

This paper cites Mackey-Glass equation,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Mackey-Glass equation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.394305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ebb628e1-34f4-495d-b7d6-8e997c76582d · outbound

This paper cites En- hanced q-least mean square,.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks En- hanced q-least mean square,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:55:35.382886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f54298f-8652-416d-9531-35a57b49e877 · outbound

This paper cites q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:55:35.246780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64b20e42-6660-4c56-adab-42c798e1466f · outbound

This paper cites an unresolved cited work.

Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:55:35.371051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.