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Paper Citation Record · LEDGER

Local minima in training of neural networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1611.06310.

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

pith.paper-citation-record.v1
1611.06310 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:10:55.372632Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:10:55.466134Z

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 f61b343a-98b8-488c-98a2-f0f5034bd062 · inbound

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

Mathematical analysis of the gradients in deep learning Local minima in training of neural networks

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:10:55.470243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:10:55.372632Z digest=sha256:d1f824d8586a462f686016099451d5548f10ab1b79fd1a980be3087dc00d2860

Observation 842bd9ee-1d43-428b-adec-dc8dcea82c81 · inbound

Landscape analysis for shallow neural networks: Complete classification of critical points for cubic activation and affine target functions cites this paper.

Landscape analysis for shallow neural networks: Complete classification of critical points for cubic activation and affine target functions Local minima in training of neural networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T00:02:22.144509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T00:02:22.144509Z digest=sha256:1a8abe240798d95b7a30adbb7ff99c6e900a754eb95ca3c6f6cd537cf75692ad