Pith. sign in

Paper Citation Record · LEDGER

Exponentially vanishing sub-optimal local minima in multilayer neural networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1702.05777.

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

pith.paper-citation-record.v1
1702.05777 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:02:22.104287Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:47:30.810789Z

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 079e71dd-e057-4141-96d9-b2739467a828 · inbound

Exploring Model-based Planning with Policy Networks cites this paper.

Exploring Model-based Planning with Policy Networks Exponentially vanishing sub-optimal local minima in multilayer neural networks

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:51:10.718016Z

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=2026-05-25T19:47:07.826557Z digest=sha256:8cdbc4fe12eff8dc2e16f04caf804f41a4f91a5b0e8a7d142ff94ce4034c75f9

Observation 6a179b53-c802-466f-ad9a-cf6e5f1d8256 · inbound

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Exponentially vanishing sub-optimal local minima in multilayer neural networks

Reference 125

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T23:00:21.116077Z

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=arxiv_source observed=2026-05-14T23:00:20.720030Z digest=sha256:5b7e0d65b0ec8ad09567053e4216ffc8fd56df84b962a18779358f55d10038b5

Observation 6abad739-8756-421e-bbaa-f399b61f1d3b · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Exponentially vanishing sub-optimal local minima in multilayer neural networks

Reference 153

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:47:30.812123Z

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=arxiv_source observed=2026-06-27T16:59:34.084575Z digest=sha256:bc66743a7386f6dcb949aa47671f292592a62e6437da357463336bc16a3092a3

Observation 4e47a77d-854d-4812-b330-ee0000368711 · 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 Exponentially vanishing sub-optimal local minima in multilayer neural networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T00:02:22.104287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T00:02:22.104287Z digest=sha256:f6179ee430d0802b85a2c1eae0b9c851ce3cdff6ef0e10c90857c5dbaef59dfb