Paper Citation Record · LEDGER

Spatio-Temporal RBF Neural Networks

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.01321.

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

pith.paper-citation-record.v1
1908.01321 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:33.229120Z

measured 20 of 20 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

20 of 20 outbound references displayed

verified exact0
verified fuzzy3
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 213c8943-4054-467a-9d84-6b76135e7842 · outbound

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

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

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.122045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a2f5ea-c02d-4ff9-8cd7-edea78897f56 · outbound

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

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

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.127769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30271e0-ff49-44bc-94ff-587cdb55a785 · outbound

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

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

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.133358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53e4c479-7180-4cf7-9abb-b67bccd5f3a2 · outbound

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

Spatio-Temporal RBF Neural Networks A novel adaptive kernel for the rbf neural networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.138570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 617ec935-219a-4305-974d-d7d2cba54743 · outbound

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

Spatio-Temporal RBF Neural Networks A novel fractional gradient-based learning algorithm for recurrent neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.143552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe46c3d-03cd-43e7-8f5c-07a3c42add73 · outbound

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

Spatio-Temporal RBF Neural Networks VP- FLMS: a novel variable power fractional LMS algorithm,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:33.469814Z

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 bd2d59fb-2572-484d-b34c-0cc15804e623 · outbound

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

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

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.157014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf600d9-142e-4045-a65b-e937fb3db974 · outbound

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

Spatio-Temporal RBF Neural Networks Rvp- ﬂms : A robust variable power fractional lms algorithm,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:33.441666Z

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 f9a9d3fc-5d96-469f-a118-67156d799c65 · outbound

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

Spatio-Temporal RBF Neural Networks Fclms: Fractional complex lms algorithm for complex system identiﬁcation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.168243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7024a165-27fe-4ff5-9fc1-a1844130746e · outbound

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

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.174285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f013629-f89f-4fc4-a4a4-8a1430ad8d44 · outbound

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

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

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.179096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b10f345b-ee75-4947-b274-4724739ee9cf · outbound

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

Spatio-Temporal RBF Neural Networks Comments on "Momentum fractional LMS for power signal parameter estimation"

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.185056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd6debc4-dd03-45be-a6d6-8036e22f0203 · outbound

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

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

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.191110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546bf666-dc61-40c3-a617-1b6de8f1e5f8 · outbound

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

Spatio-Temporal RBF Neural Networks A fractional gradient descent-based rbf neural network,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.196702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39ba2cd3-5fd4-4602-a60e-1285479a3ab7 · outbound

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

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.201957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9284e214-7ce1-4fb5-bfcf-a2bfb2b0a29f · outbound

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

Spatio-Temporal RBF Neural Networks Haykin, Neural Networks: A Comprehensive F oundation , 2nd ed

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:33.370383Z

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 92d9b990-92e8-414b-8c3a-a825beff2473 · outbound

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

Spatio-Temporal RBF Neural Networks Topological sensitivity based far-ﬁeld detection of elastic inclusions,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.212684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a84d5d2-78d9-4f36-949b-fe82f3abaa81 · outbound

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

Spatio-Temporal RBF Neural Networks En- hanced q-least mean square,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.218264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b1b63a-2fac-4c1d-a747-cf0a177317fd · outbound

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

Spatio-Temporal RBF Neural Networks q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:33.223580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21e594b-0db6-4f96-b676-3f89e093752c · outbound

This paper cites an unresolved cited work.

Spatio-Temporal RBF Neural Networks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:20:33.328708Z

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.