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Paper Citation Record · LEDGER

Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.06391.

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

pith.paper-citation-record.v1
2404.06391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:07.446769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:16:44.020213Z

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 e4804cfb-3121-4c0b-8e13-09f1381aeb03 · 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 Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:07.446769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:43:07.446769Z digest=sha256:c46210b6be994dbfb304330da52846142b268f0c37d558b38784d94716caf5a5

Observation 562fadeb-2a37-4a76-82ee-e809740fc2d1 · inbound

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

Flat Channels to Infinity in Neural Loss Landscapes Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:57:13.201163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T08:56:05.147928Z digest=sha256:e7554d257697a3ec583dfd5adf8fa9109e2ab54a44b4588eb95554eb7b1027c3

Observation aeff0dc2-8564-47d6-a8c3-d65819cbfd58 · inbound

Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets cites this paper.

Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:11:18.855853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:10:43.367020Z digest=sha256:a56d6a4650835fb322e2a2c40d1a77129d379b9b695198b28c355e6fd183a623

Observation 626be28d-ae57-4069-ace6-080d68f25ac7 · inbound

A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks cites this paper.

A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:16:44.021670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T07:25:06.419331Z digest=sha256:69ed8a1819e0e19dc6c36e2d061586aeaf9a8055b7a95d1264b71ff31e62947a

Observation db63e628-c705-4301-afe2-430cdce5f51e · inbound

Understanding Machine Unlearning Through the Lens of Mode Connectivity cites this paper.

Understanding Machine Unlearning Through the Lens of Mode Connectivity Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-31T23:27:27.679797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:27:27.679797Z digest=sha256:1bf1c2fd2de206bdfe9777228117d53e02daae7cce29932bcd80b9d185583404