Pith. sign in

Paper Citation Record · LEDGER

Recurrent Stochastic Configuration Networks with Incremental Blocks

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2411.11303.

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

pith.paper-citation-record.v1
2411.11303 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:50:29.948772Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:42:36.476148Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:42:36.507199Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff0adc63-f157-42bf-b33c-b0122523fb9b · outbound

This paper cites A compre- hensive review for industrial applicability of artificial neural networks,.

Recurrent Stochastic Configuration Networks with Incremental Blocks A compre- hensive review for industrial applicability of artificial neural networks,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.160919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.875323Z digest=sha256:f1771f66357a33d67e60376bcd585113cec0020a0869607765c1ecfdec33e0cb

Observation a746f5bf-7050-4215-a5b2-624edc39dfbc · outbound

This paper cites A deep dual adversarial network for cross-domain recommendation,.

Recurrent Stochastic Configuration Networks with Incremental Blocks A deep dual adversarial network for cross-domain recommendation,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.153559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.878555Z digest=sha256:29ef31fe1f06b5f98f2164c48e3ff00de2ed5246f3728e85064225de43072894

Observation 49b7f8cd-d53c-44bf-81e2-314f1ae54d30 · outbound

This paper cites Multi-scale dynamic convolu- tional network for knowledge graph embedding,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Multi-scale dynamic convolu- tional network for knowledge graph embedding,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.146102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.881188Z digest=sha256:4ac795fe2ec13e7b8ae4a303202f31c45cf54b1300b348e756827a6df1fab41e

Observation ded5ae6d-6ec9-49c1-8c0d-5d693f2004ec · outbound

This paper cites On the difficulty of training recurrent neural networks, in International conference on machine learn- ing,.

Recurrent Stochastic Configuration Networks with Incremental Blocks On the difficulty of training recurrent neural networks, in International conference on machine learn- ing,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.138719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.883686Z digest=sha256:396f30a30520c7fe430095b52ee65fcc55e59a0aadf4e1212e548b1418f76193

Observation c0cc52ae-4c52-4110-8c11-570dba7133c7 · outbound

This paper cites Deep reservoir computing: A critical experimental analysis,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Deep reservoir computing: A critical experimental analysis,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.131461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.886437Z digest=sha256:0a48b11f1b5facfa9bcf1725a8f7d9cb0a6ab14249b0466a0e3dc64fb7d989ef

Observation 048334c2-4a9e-49b8-826d-d2990e90e969 · outbound

This paper cites Periodic weather-aware LSTM with event mechanism for parking behavior pre- diction,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Periodic weather-aware LSTM with event mechanism for parking behavior pre- diction,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.124400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.889008Z digest=sha256:ea01e525bf5ee15a0e9baf0880dc86acb34e3ac58fc22b6109077541dec2b9ef

Observation 0ed1bba4-94bf-492a-89e4-866099c69dae · outbound

This paper cites Survey: reservoir computing ap- proaches to recurrent neural network training,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Survey: reservoir computing ap- proaches to recurrent neural network training,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.117090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.891643Z digest=sha256:233e46cd50717c24a3a6b7005fc41f3e07c6ca4b5f80fe67f31469ed9765a2ed

Observation fa6874a5-6a77-4374-b277-6e19c8b48ca1 · outbound

This paper cites Randomness in neural networks: an overview,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Randomness in neural networks: an overview,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.894067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.894067Z digest=sha256:8ed777bc785b11656b7763484ceb4eac37a176d4c01073b2da8ac9b623ad2781

Observation 64c42134-3def-436a-ae6a-b0e558d07d0e · outbound

This paper cites The echo state approach to analysing and training recurrent neural networks-with an erratum note,.

Recurrent Stochastic Configuration Networks with Incremental Blocks The echo state approach to analysing and training recurrent neural networks-with an erratum note,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.896428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.896428Z digest=sha256:db560ded60a2a3de0ecab8283ec755061283d70ba0523ea7d6a65ec4c2eb14bd

Observation 263a35aa-5f34-4bcc-ab44-d18df4e28abe · outbound

This paper cites Real-time computing without stable states: a new framework for neural computation based on perturbations,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Real-time computing without stable states: a new framework for neural computation based on perturbations,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.102885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.898808Z digest=sha256:b9d376cb20921cb8935ae7228323dd0be4dcae16288217168c51415c3f12c857

Observation 1f2ebad1-34fb-47b1-97b2-b238d9c9873b · outbound

This paper cites Evolving dual-threshold bienenstock-cooper-munro learning rules in echo state networks,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Evolving dual-threshold bienenstock-cooper-munro learning rules in echo state networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.096200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.901214Z digest=sha256:9622cd52c189fdadd2b6b144c64d83365fdd51751ce63b5fb852299ed3350536

Observation 2b6c22b2-197f-4f51-90d2-69ebe02e3a8c · outbound

This paper cites A systematic review of echo state networks from design to application,.

Recurrent Stochastic Configuration Networks with Incremental Blocks A systematic review of echo state networks from design to application,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.089570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.903595Z digest=sha256:e94aa8212b9cfb20a1d8b215d5e386becfe3f21d454cac6f32e0ffe5d493a173

Observation 898120d6-4f96-4396-9e84-578ce24ab498 · outbound

This paper cites Deep fuzzy echo state networks for machinery fault diagnosis,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Deep fuzzy echo state networks for machinery fault diagnosis,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.082500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.906302Z digest=sha256:fc6c95769b6e2d07abed1c69d9b087399f893c75ebfd00b5ca898dbcad3a703e

Observation 7cba8d65-7197-4413-9d01-30e98420dcba · outbound

This paper cites Minimum complexity echo state network,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Minimum complexity echo state network,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.075420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.908690Z digest=sha256:c312be113c6fdc2d489d30823cc7f70fc31980d5734f652c3f7d753c1f5e3650

Observation 6f231339-9f9d-453d-a909-7a4eb0b0b7c0 · outbound

This paper cites Optimization and applications of echo state networks with leaky-integrator neurons,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Optimization and applications of echo state networks with leaky-integrator neurons,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.067973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.911149Z digest=sha256:5a279efaac500aff35223e8bef340bad53051ca8f209ac2601bdf716780ddb3c

Observation 7ace1a7a-c998-4106-a5e4-843517cd2b21 · outbound

This paper cites Echo state property of deep reservoir computing networks,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Echo state property of deep reservoir computing networks,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.060793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.913514Z digest=sha256:a2f24af1dc11e750d1cba60d8e2bc2c589fc5f42af161f290b9a92008c3fc293

Observation 6046dc2d-eca9-4c68-84f0-2d6125332f74 · outbound

This paper cites Deep Echo State Network (DeepESN): A Brief Survey.

Recurrent Stochastic Configuration Networks with Incremental Blocks Deep Echo State Network (DeepESN): A Brief Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.916253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.916253Z digest=sha256:cd424fa0f62c476f2777ca9b8187034c7cd7d2648aaef7eca3764f9e4a7ff706

Observation 1351dc65-db31-4f5c-a0e1-376ab77d1ea2 · outbound

This paper cites Pruning and regular- ization in reservoir computing,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Pruning and regular- ization in reservoir computing,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.053701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.919005Z digest=sha256:dab39e8236809bf375dd95604eeac64533a3b1e37df2ee5c2afec0d1959870e1

Observation 33b4c1c4-53e8-4dea-bca2-5a01956d494f · outbound

This paper cites Growing echo-state network with multiple subreservoirs,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Growing echo-state network with multiple subreservoirs,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.046176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.921522Z digest=sha256:5bc0e291aafdb3ffc8105679e519df8d506b0494115a268db2308bf9fc3f6d40

Observation aed216f9-6750-47b3-8926-55025a5cbf47 · outbound

This paper cites Echo state networks: novel reservoir selection and hyperparameter optimization model for time series forecasting,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Echo state networks: novel reservoir selection and hyperparameter optimization model for time series forecasting,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.038484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.923910Z digest=sha256:e3f185350e942abffa0a3383333bb82dcc75d3724c6393ef750e91fabe47bd46

Observation 855079e0-1168-48ce-812a-78e9a5bfa069 · outbound

This paper cites PSO-based growing echo state network,.

Recurrent Stochastic Configuration Networks with Incremental Blocks PSO-based growing echo state network,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.031028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.926466Z digest=sha256:401221cd189736029182ca820974e87d1867dba9445d191691ae41f22e760141

Observation 5b1a93c7-df96-481a-af09-249ea63bb591 · outbound

This paper cites Parameterizing echo state networks for multi-step time series prediction,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Parameterizing echo state networks for multi-step time series prediction,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.023784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.928765Z digest=sha256:2579490bcb5ac28d6b6341f3bfdba25de6e6f53bf8b0ebb332e6926cb85355a5

Observation ef982047-ed4a-4aa6-ab44-7abb9a49848c · outbound

This paper cites Editorial: randomized algorithms for training neural net- works,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Editorial: randomized algorithms for training neural net- works,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.016437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.931723Z digest=sha256:e968ef14abcd4dd2a344138b88be3c7cc41ab048560e9d1a53f5f184f1fc604e

Observation 525481af-b5dc-44df-945a-5b8f8d7c830a · outbound

This paper cites Insights into randomized algorithms for neural networks: practical issues and common pitfalls,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Insights into randomized algorithms for neural networks: practical issues and common pitfalls,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:30.009035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.934073Z digest=sha256:f1c80716586899775e03a0407b88fc830529a21a0dfe52e5cad96062c95a6240

Observation 5b13bd80-0ec4-4e76-b1ac-f0bbbb8fa093 · outbound

This paper cites Stochastic configuration networks: Fundamentals and algorithms,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Stochastic configuration networks: Fundamentals and algorithms,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.936446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.936446Z digest=sha256:ca57fc078ba2e8b367c92e788307d57d61b459f76cae0fedb4164b107c1e3de8

Observation 6ea63498-07dc-409d-86cb-b271fd269ec2 · outbound

This paper cites Recurrent Stochastic Configuration Networks for Temporal Data Analytics.

Recurrent Stochastic Configuration Networks with Incremental Blocks Recurrent Stochastic Configuration Networks for Temporal Data Analytics

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.938863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.938863Z digest=sha256:8db8f8149496725160059b4d803f5c0c68a197399f8a59e52c9f956c9059a135

Observation a84a5bb5-28ed-4739-a7d3-2d1e084247e9 · outbound

This paper cites Adaptive filtering prediction and control,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Adaptive filtering prediction and control,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.941477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.941477Z digest=sha256:2ac477ecfc4b48be2434e31b4d80aa439d2883fb1862f58f1798bcbfccb6446c

Observation 6b144a97-b75a-4a3e-859a-0b3363d5341c · outbound

This paper cites Stochastic configuration networks with block increments for data modeling in process industries,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Stochastic configuration networks with block increments for data modeling in process industries,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:29.994455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.943790Z digest=sha256:8c6234b603eb3f216b02c3c73ad682bcd7908578e149aa516b16d5320356f5eb

Observation 59e2ec93-1053-44fe-ac40-15c1d94a3e41 · outbound

This paper cites Decoupled echo state networks with lateral inhibition,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Decoupled echo state networks with lateral inhibition,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:50:29.987277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T18:50:29.946291Z digest=sha256:4beafea346f12f287b03317fa3c522b325e07a75ef7e4d3359ef67a9da9e1da5

Observation a57fd4e7-3164-44db-9f7f-f33c962f89b3 · outbound

This paper cites Soft sensors for product quality monitoring in debutanizer distillation columns,.

Recurrent Stochastic Configuration Networks with Incremental Blocks Soft sensors for product quality monitoring in debutanizer distillation columns,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:29.948772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:29.948772Z digest=sha256:93dcd0780a839d3542191f3df373c058a2308c28cf56eba106b6d08584aa007d

Pith citing papers

Observation cb1f6e21-1823-4d82-894e-8e1db19aabd5 · inbound

Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling cites this paper.

Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling Recurrent Stochastic Configuration Networks with Incremental Blocks

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:42:36.513085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T12:42:36.476148Z digest=sha256:b91e6d061c8792fb6a3a7547e2c02652047e839e03d43ce6c79980170d07a2a9