Paper Citation Record · LEDGER

An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.12231.

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

pith.paper-citation-record.v1
2304.12231 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:33:45.352635Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:47:35.956082Z

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 d28b9a5b-a006-4e40-8e94-384c96877e07 · inbound

Neural Operators Can Play Dynamic Stackelberg Games cites this paper.

Neural Operators Can Play Dynamic Stackelberg Games An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T20:33:45.352635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3a28d0-cb4b-4915-a578-df76a177c2be · inbound

Is In-Context Universality Enough? MLPs are Also Universal In-Context cites this paper.

Is In-Context Universality Enough? MLPs are Also Universal In-Context An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T05:16:19.931454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5a9cb8-183c-4b88-a7fb-8598d806d57c · inbound

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds cites this paper.

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:47:35.957476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee445396-faff-4e6a-823e-c991b17d4c78 · inbound

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds cites this paper.

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:34:37.563513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.