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Paper Citation Record · LEDGER

Neural reproducing kernel Banach spaces and representer theorems for deep networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.08750.

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

pith.paper-citation-record.v1
2403.08750 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:43:13.227017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:10:01.070167Z

Reference resolution

0 of 0 outbound references displayed

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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 33b99903-f95d-4cf0-91e7-459dc04961ee · inbound

Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators cites this paper.

Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators Neural reproducing kernel Banach spaces and representer theorems for deep networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T13:43:13.227017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:43:13.227017Z digest=sha256:2202ff7bfc655861f1a5fd4afb29a31da6ec729b9a6e02f93adcbc49c7f06d72

Observation 99720879-44ef-4c3e-9f6a-fe93a2daa6ea · inbound

Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks cites this paper.

Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks Neural reproducing kernel Banach spaces and representer theorems for deep networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:18:43.414994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T04:24:23.138990Z digest=sha256:7ba03854ea95059fc223b62020a6b12ea0fbe0c766bd5872b87e21e9168ee33d

Observation 0e468198-9628-4f6b-8606-ef73991ab238 · inbound

Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks cites this paper.

Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks Neural reproducing kernel Banach spaces and representer theorems for deep networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T11:32:31.360517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:32:31.360517Z digest=sha256:eac573700a23018b425b526bdf810b5f97bc30215e48b1d02576a2b801b41b48

Observation e2053bce-2258-45d5-aa1a-c8d9f57491ef · inbound

Gradient Mean-Field Dynamics with Measure-Valued States: Well-Posedness, Chaos, and Long-Time Stability cites this paper.

Gradient Mean-Field Dynamics with Measure-Valued States: Well-Posedness, Chaos, and Long-Time Stability Neural reproducing kernel Banach spaces and representer theorems for deep networks

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:10:01.071966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T23:04:06.255015Z digest=sha256:56571cbde927a6be4260cc8bf267351496069027e077a24b09e4ce1ea86e0a3b

Observation c18fac96-d452-4741-8bfd-48ec34ea1a2e · inbound

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity cites this paper.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity Neural reproducing kernel Banach spaces and representer theorems for deep networks

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:5f41b144fe7b5f17394ab6750b16833f42539527618cb108581c9ec8fa00662d