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Paper Citation Record · LEDGER

Effective Non-Random Extreme Learning Machine

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.16229.

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

pith.paper-citation-record.v1
2411.16229 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:29:22.169819Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

15 of 15 outbound references displayed

  • verified exact4
  • verified fuzzy3
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1688d4eb-72f6-435c-8c99-4233a2324810 · outbound

This paper cites WIREs Data Mining and Knowledge Dis- covery 7(2), 1200 (2017) https://doi.org/10.1002/widm.1200 https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1200.

Effective Non-Random Extreme Learning Machine WIREs Data Mining and Knowledge Dis- covery 7(2), 1200 (2017) https://doi.org/10.1002/widm.1200 https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1200

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.115919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.115919Z digest=sha256:834c252ac630dbfcff2603feb7d48a3d763f93b3cfe6605ccca6f69996759ff8

Observation c21ae2a0-ed95-4b47-85ce-4f915eaf3231 · outbound

This paper cites In: 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), pp.

Effective Non-Random Extreme Learning Machine In: 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), pp

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-12T13:29:22.604869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.119879Z digest=sha256:81ba3e79cd62101b345cace5365fb74acb064fbe1e8aa291c803c8cfea53fb0d

Observation 23add119-864f-41f7-b1d3-34f73dbb01f3 · outbound

This paper cites Neural Comput and Applic 33, 15121–15144 (2021) https://doi.org/10.1007/s00521-021-06402-y.

Effective Non-Random Extreme Learning Machine Neural Comput and Applic 33, 15121–15144 (2021) https://doi.org/10.1007/s00521-021-06402-y

Reference 3

Resolution
verified exact
doi, observed 2026-08-12T13:29:22.251554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.123192Z digest=sha256:089c8e0985d34f54157fd7371b2d72f4dbf1f59ddd1e77f4623761a540e74f73

Observation 0f5aec9b-c7f4-4078-9fe3-a23aa6394d5d · outbound

This paper cites Neurocomputing 74(16), 2483–2490 (2011) https://doi.org/10.1016/j.

Effective Non-Random Extreme Learning Machine Neurocomputing 74(16), 2483–2490 (2011) https://doi.org/10.1016/j

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-08-12T13:29:22.131900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.131900Z digest=sha256:88ff79060be13c602b74933523d6e49955f0f2dccc0113385505bb664a514bda

Observation e56f2e39-8baa-4c70-879c-fb6d0ca5b77c · outbound

This paper cites an unresolved cited work.

Effective Non-Random Extreme Learning Machine Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.135703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.135703Z digest=sha256:3697889433503238c7bb428357427e750fa5484c0973852b3a75c62ea0102a62

Observation 5987b393-e7be-4c89-a81b-e12bc9fc27a1 · outbound

This paper cites IEEE Transactions on Cybernetics 47(10), 3466–3479 (2017) https://doi.

Effective Non-Random Extreme Learning Machine IEEE Transactions on Cybernetics 47(10), 3466–3479 (2017) https://doi

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.139214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.139214Z digest=sha256:a1e2435500c24c4980b86e1e549ef1d171cb67c97354a156d1ab6eb59bd59df0

Observation 5b643840-e31d-46a2-b21b-a393dac6a128 · outbound

This paper cites Information Sciences 185(1), 66–77 (2012) https://doi.org/10.1016/j.ins.2011.09.

Effective Non-Random Extreme Learning Machine Information Sciences 185(1), 66–77 (2012) https://doi.org/10.1016/j.ins.2011.09

Reference 8

Resolution
verified exact
doi, observed 2026-08-12T13:29:22.233455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.141955Z digest=sha256:6dbc8c28b439fef3bf1a531b2d891a49eceb2a6eaf796b131810d3032b7ae13c

Observation 7e10a707-9a82-4a4b-857c-e3fdd88e4190 · outbound

This paper cites an unresolved cited work.

Effective Non-Random Extreme Learning Machine Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.144718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.144718Z digest=sha256:343777c49055ebf8fefd3cebb0c57ccff86555a6a1b0afeb2192cc737c9d17c6

Observation 3d1fb96f-8daa-452c-9d4e-328cf760de85 · outbound

This paper cites The Annals of Applied Probability 33(6A), 4798–4819 (2023) https: //doi.org/10.1214/23-AAP1933.

Effective Non-Random Extreme Learning Machine The Annals of Applied Probability 33(6A), 4798–4819 (2023) https: //doi.org/10.1214/23-AAP1933

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.148835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.148835Z digest=sha256:1b06bb812900640801871748ce6de76a54d03c4a55f9afa17204bdbaa0308f7e

Observation bf2ca4a1-1d34-4da9-b80f-c7424bbd9b59 · outbound

This paper cites Quantitative CLTs in Deep Neural Networks.

Effective Non-Random Extreme Learning Machine Quantitative CLTs in Deep Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.151658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.151658Z digest=sha256:b33ef840089753d6e003341959d3f92e72920f565b23b3c1fed61f153e4de826

Observation e54bf96e-6fcf-405c-aeec-a95c2bfea941 · outbound

This paper cites Stochastic Systems 0(0), (0) https://doi.org/10.1287/stsy.2023.0033.

Effective Non-Random Extreme Learning Machine Stochastic Systems 0(0), (0) https://doi.org/10.1287/stsy.2023.0033

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.155714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.155714Z digest=sha256:eaac6b6362ca36f6f0b1368976b5b89b068ac6540e4e2a7d63fed9b47104e887

Observation fd42fa49-1efa-4cb9-97f7-d12c9c9e1d81 · outbound

This paper cites In: Proceedings of the 36th International Con- ference on Neural Information Processing Systems.

Effective Non-Random Extreme Learning Machine In: Proceedings of the 36th International Con- ference on Neural Information Processing Systems

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:29:22.638340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.159424Z digest=sha256:217cc84b390c41bb6c58568674b5f4b8247982d9926587265404b29854c6e2c7

Observation 0573f92f-4318-4d4c-9e36-af91dcd9390e · outbound

This paper cites Pattern Recognition 96, 106960 (2019) https: //doi.org/10.1016/j.patcog.2019.07.005.

Effective Non-Random Extreme Learning Machine Pattern Recognition 96, 106960 (2019) https: //doi.org/10.1016/j.patcog.2019.07.005

Reference 14

Resolution
verified exact
doi, observed 2026-08-12T13:29:22.197247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.162829Z digest=sha256:979a7c9e981df3e5ec931891a663995455dfc99d018e07fe3328f0aad69280d0

Observation 1ea30e32-8cc2-41a9-ae4c-d40738e80195 · outbound

This paper cites Springer series in statistics.

Effective Non-Random Extreme Learning Machine Springer series in statistics

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:29:22.627413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.166650Z digest=sha256:3bf9381cc0e651eb38024d15977bac8ab4f9613b3678ab7d955edcaae7c42fb7

Observation a79cec22-406a-438f-b2fa-a3f57e05d339 · outbound

This paper cites https://archive.ics.uci.edu 33.

Effective Non-Random Extreme Learning Machine https://archive.ics.uci.edu 33

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:29:22.616962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:29:22.169819Z digest=sha256:3234ead5114380fbedffbb91fcf71a18cee317db24d43941cae53a870be9a29d

Pith citing papers

No inbound Pith citation observations are available.