Paper Citation Record · LEDGER

Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.12887.

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

pith.paper-citation-record.v1
2403.12887 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:35:07.359299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:37:31.689999Z

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 d29181cd-04d2-4b58-a07e-4d922a18d576 · inbound

The Mathematics of Artificial Intelligence cites this paper.

The Mathematics of Artificial Intelligence Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:21:15.190513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb25517-25d7-46ed-99a3-bdffde32782e · inbound

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans cites this paper.

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:37:31.693689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70267c65-5596-4135-a413-a09920644edf · inbound

A Unified Perspective on the Dynamics of Deep Transformers cites this paper.

A Unified Perspective on the Dynamics of Deep Transformers Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T00:04:10.779165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1312402-b2b1-4671-baa6-51b3284792fc · inbound

Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime cites this paper.

Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:35:07.359299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.