Paper Citation Record · LEDGER

On the Depth of Monotone ReLU Neural Networks and ICNNs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.06169.

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

pith.paper-citation-record.v1
2505.06169 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:50:04.167571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:16:09.274262Z

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 4a927e7d-103a-428c-9faf-2307da924be7 · inbound

Approximation Depth of Convex Polytopes cites this paper.

Approximation Depth of Convex Polytopes On the Depth of Monotone ReLU Neural Networks and ICNNs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:04.167571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19f973aa-7ed7-43c0-8fa4-68b2ebc746ef · inbound

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions cites this paper.

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions On the Depth of Monotone ReLU Neural Networks and ICNNs

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:09.276642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 05235bb3-0b5d-4fce-a5a4-e464288935d4 · inbound

A simplex-based measure of symmetry cites this paper.

A simplex-based measure of symmetry On the Depth of Monotone ReLU Neural Networks and ICNNs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T23:46:19.952850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a63aebc-a698-4f78-b2ff-c12e4910b615 · inbound

Tropical Circuits with Scalar Multiplication Gates cites this paper.

Tropical Circuits with Scalar Multiplication Gates On the Depth of Monotone ReLU Neural Networks and ICNNs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T04:53:15.571065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.