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Paper Citation Record · LEDGER

Functional Bilevel Optimization for Machine Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.20233.

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

pith.paper-citation-record.v1
2403.20233 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:29:12.088013Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:11:18.839801Z

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 01308572-9eff-48fb-bbf5-73a9bb2276e0 · inbound

Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression cites this paper.

Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression Functional Bilevel Optimization for Machine Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T21:29:12.088013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:29:12.088013Z digest=sha256:10a4b6e95208f86475375237cbcf11985e827190e85e56d202b6108859876c43

Observation e1770638-3257-4feb-b6ba-aebe8643b2d1 · 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 Functional Bilevel Optimization for Machine Learning

Reference 171

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:11:18.841172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T03:10:43.367020Z digest=sha256:14f1f7a90af4c42eaf47563a15fd1b5183360741991d63877314e525e6f0315b