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Paper Citation Record · LEDGER

Restricted Strong Convexity of Deep Learning Models with Smooth Activations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.15106.

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

pith.paper-citation-record.v1
2209.15106 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:50:29.364466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.141032Z

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 7c486b88-4c1f-44f1-a10b-85c01ed3e80d · inbound

Geometric flow regularization in latent spaces for smooth dynamics with the efficient variations of curvature cites this paper.

Geometric flow regularization in latent spaces for smooth dynamics with the efficient variations of curvature Restricted Strong Convexity of Deep Learning Models with Smooth Activations

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:29.364466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:29.364466Z digest=sha256:78e5417e6f8456afe43fdb7d369e989d3d0a8614e5059aec4c8ea1935a531b40

Observation bf70c4f3-ce04-4ce1-8cc9-5491804e4b3a · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction Restricted Strong Convexity of Deep Learning Models with Smooth Activations

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:51.142534Z

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=2026-06-26T05:14:07.208255Z digest=sha256:50357f7500b58de16384f8e04c775088a73bfea59d7649f6f352769d8288f8e5