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Paper Citation Record · LEDGER

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks

As of 22 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:1909.02636.

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

pith.paper-citation-record.v1
1909.02636 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:49:12.112154Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:10:54.881291Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:10:55.733132Z

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d9944d-52f0-4e8b-a77c-a0e257fa8cbd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks Adam: A Method for Stochastic Optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T04:49:12.107351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:49:12.107351Z digest=sha256:e8ce732754aff68b7c5fb4f168f405483b5c4686e1d70af0fffbe5eabfa37388

Observation 2f4d6db9-ecdf-45c3-89c8-233d14b802a9 · outbound

This paper cites Interpreting Magnetic Fields of the Brain: Minimum Norm Estimates.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks Interpreting Magnetic Fields of the Brain: Minimum Norm Estimates

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-14T04:49:12.096905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:49:12.096905Z digest=sha256:90aa029a473f3ca0512579c7ad0a90e6bd9d12b34a25efb4d804256aae4a2f42

Observation e5e5d708-77d9-4e0e-bdf6-b144128a9aa7 · outbound

This paper cites Speech Recognition with Deep Recurrent Neural Networks.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks Speech Recognition with Deep Recurrent Neural Networks

Reference 711

Resolution
unresolved
no resolver link, observed 2026-08-14T04:49:12.092594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:49:12.092594Z digest=sha256:a256c378c95f59666df08d14c1c969cc94a40771634ae618d10834abe79b7611

Observation 2240e33a-415b-4596-a4b3-6eb354fb8e0f · outbound

This paper cites A Generalized framework of weak value amplification in path interference of polarized light for the enhancement of all possible polarization anisotropy effects.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks A Generalized framework of weak value amplification in path interference of polarized light for the enhancement of all possible polarization anisotropy effects

Reference 2002

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T04:49:12.350999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T04:49:12.102790Z digest=sha256:4726c43f347a197aa63acb47de700ae8cf79f310ce35282525341a2cb741fbcf

Observation 9fce0f22-54e2-4cba-8f09-2fdb52f8ec65 · outbound

This paper cites Hierarchical Bayesian Estimates of Distributed MEG Sources: Theoretical Aspects and Comparison of Variational and MCMC Methods.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks Hierarchical Bayesian Estimates of Distributed MEG Sources: Theoretical Aspects and Comparison of Variational and MCMC Methods

Reference 2007

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T04:49:12.314930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T04:49:12.112154Z digest=sha256:49d9fa49e24b5029d8034fd383e649e72edd1e30679948577597012053166a62

Observation 3f3a6e0b-88fd-44dc-9b75-7e53d96b85c2 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-14T04:49:12.083082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:49:12.083082Z digest=sha256:cb96a341f5c9fa532f3fcfb02cd26da4f04f15dd6f6d03d3eab768cc33839c8d

Observation f459476d-55c0-4266-b96b-d2759f5eaaf5 · outbound

This paper cites Real-Time MEG Source Localization Using Reg ional Clustering.

Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks Real-Time MEG Source Localization Using Reg ional Clustering

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-14T04:49:12.088347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:49:12.088347Z digest=sha256:7e60164af2f78b35ee53aa52ea10d2cb1c156564beaa2742e817c6ad9ab12891

Pith citing papers

Observation 4fa7b67a-feaf-48b9-9000-6ffffafc6c22 · inbound

Artificial Neural Networks for Magnetoencephalography: A review of an emerging field cites this paper.

Artificial Neural Networks for Magnetoencephalography: A review of an emerging field Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks

Reference 135

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:10:55.738246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:10:54.881291Z digest=sha256:61b910546fad1f717fb7d12581fa8532d3a9839136cf0f36c3b7a4c2068f521f