Paper Citation Record · LEDGER

On the inductive bias of infinite-depth ResNets and the bottleneck rank

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.19149.

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

pith.paper-citation-record.v1
2501.19149 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:29.224880Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T22:15:39.235191Z

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 9620f95c-5bdf-4ab2-9d11-a3478b435982 · inbound

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers cites this paper.

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers On the inductive bias of infinite-depth ResNets and the bottleneck rank

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:29.224880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f573d7-e20f-480a-be84-f4cf4fa637ab · 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 On the inductive bias of infinite-depth ResNets and the bottleneck rank

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.412096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1992bc86-b392-4913-a102-91a43bfe5f6d · 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 On the inductive bias of infinite-depth ResNets and the bottleneck rank

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T11:32:31.533969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f9fe78-b5da-4627-a20f-afaa58144326 · inbound

Differentially Private Natural Gradient Descent cites this paper.

Differentially Private Natural Gradient Descent On the inductive bias of infinite-depth ResNets and the bottleneck rank

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:15:39.236848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.