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Paper Citation Record · LEDGER

Sub-Optimal Local Minima Exist for Neural Networks with Almost All Non-Linear Activations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.01413.

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

pith.paper-citation-record.v1
1911.01413 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:10:55.149307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:23:31.786803Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 45dc87df-2ace-4e74-80f8-32e5a802df13 · inbound

Mathematical analysis of the gradients in deep learning cites this paper.

Mathematical analysis of the gradients in deep learning Sub-Optimal Local Minima Exist for Neural Networks with Almost All Non-Linear Activations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T14:10:55.149307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:10:55.149307Z digest=sha256:6b437db7e337030497b16dda7febb8ddc9b3d61a5fc819b810d9c5a0542b06f6

Observation 8ae1ac91-792b-4baa-903c-d6686827dbfd · inbound

Convergence of difference inclusions: a diameter criterion and step-size conditions cites this paper.

Convergence of difference inclusions: a diameter criterion and step-size conditions Sub-Optimal Local Minima Exist for Neural Networks with Almost All Non-Linear Activations

Reference 252

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:23:31.788703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T02:21:30.228735Z digest=sha256:61c8752bd707d9624fd28605a7b71aa32d64e17d6a951a5b98730081bb8990dc