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Paper Citation Record · LEDGER

Learning Smooth Neural Functions via Lipschitz Regularization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.08345.

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

pith.paper-citation-record.v1
2202.08345 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:42:49.191168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:41:44.755069Z

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 67291194-c887-4fd1-b478-9d77ebb35760 · inbound

Toward Robust Neural Reconstruction from Sparse Point Sets cites this paper.

Toward Robust Neural Reconstruction from Sparse Point Sets Learning Smooth Neural Functions via Lipschitz Regularization

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T10:42:49.191168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:42:49.191168Z digest=sha256:7617ab5f0ffe7f9c35d8b206d777ff1848980551acf8c0acfc0020ca240bb736

Observation 4f1cfeb7-3a29-4c0b-879e-6d36db9aeb5c · inbound

Thermodynamically consistent machine learning model for excess Gibbs energy cites this paper.

Thermodynamically consistent machine learning model for excess Gibbs energy Learning Smooth Neural Functions via Lipschitz Regularization

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:41:44.758260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T18:37:51.200663Z digest=sha256:213a838bc95683fe7f5edc7bcdd24aae84cbfd90150778284ff89240890bf245

Observation 1852df87-3564-4ee6-87c5-2aa0c9db5290 · inbound

Learning Minimal Representations of Fermionic Ground States cites this paper.

Learning Minimal Representations of Fermionic Ground States Learning Smooth Neural Functions via Lipschitz Regularization

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T16:50:11.985876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:50:11.985876Z digest=sha256:bffbbe0ea6d680e9523031c4ef7fec482807449147f357b7b3beefbed4c072a5