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Paper Citation Record · LEDGER

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.00608.

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

pith.paper-citation-record.v1
2305.00608 v3

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T21:27:16.595303Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d48d006b-afca-439e-a2d7-d907e3e0a1c0 · inbound

Distributional Off-Policy Evaluation with Deep Quantile Process Regression cites this paper.

Distributional Off-Policy Evaluation with Deep Quantile Process Regression Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:03.855267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T04:10:14.476158Z digest=sha256:a8ea8335762b5867294a6f0015bd9826f8b77cddf16a8f0bb1183aabdf147489

Observation e71e9091-7fcd-4603-be7a-2e3d53fb70d3 · inbound

Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations cites this paper.

Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:56:55.636176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T02:40:39.324301Z digest=sha256:0db4933de27617002ae24b66ac4a5b47e53327617b3806c5bf6a77343537000a

Observation dbcb0df1-3592-4f79-872a-1ca56f47dc2a · inbound

On Explicit Super-Expressive Approximation for Neural Networks cites this paper.

On Explicit Super-Expressive Approximation for Neural Networks Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:27:34.930155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T21:27:16.595303Z digest=sha256:a70a01f7ba82ea71472fcd744d437854d66184a09f59fe7e674d5a22a9e7161c