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Paper Citation Record · LEDGER

Do Deep Neural Network Solutions Form a Star Domain?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.07968.

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

pith.paper-citation-record.v1
2403.07968 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:08.736723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:57:13.222901Z

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 a05d770b-7108-4b4c-9d38-e3205fdff847 · inbound

The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions cites this paper.

The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions Do Deep Neural Network Solutions Form a Star Domain?

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:08.736723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:43:08.736723Z digest=sha256:5728202bb73e3feae1b705db36afe5914437daeef15bcd42205652c7d70a32fa

Observation 70413923-d942-4562-9a5b-a94bf62bae75 · inbound

Flat Channels to Infinity in Neural Loss Landscapes cites this paper.

Flat Channels to Infinity in Neural Loss Landscapes Do Deep Neural Network Solutions Form a Star Domain?

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:57:13.226851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:56:05.147928Z digest=sha256:1d0983839cbd1402ce0aacbf85d909c5d642e6939f8d8483e598678d8493780b