Paper Citation Record · LEDGER

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1605.06431.

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

pith.paper-citation-record.v1
1605.06431 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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:25:28.449709Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T13:19:50.441616Z

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 3f9e9ae6-f5d0-487a-bfea-e4959acc9979 · inbound

Scaling Laws for Neural Language Models cites this paper.

Scaling Laws for Neural Language Models Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:51:47.643433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 80b6b85f-7c2d-4eaf-8e25-98df681e5119 · inbound

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos cites this paper.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T00:25:28.449709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc858a7-3ef0-4ad3-88be-7b58e5fab955 · inbound

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry cites this paper.

CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-04T13:19:50.443121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 700fbcec-a778-465c-9072-cd26fece285a · inbound

Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning cites this paper.

Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-01T15:58:13.164778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d69fb9-c6a3-46b7-bd0b-c792345f98a8 · inbound

Greedy dynamical meta-learning cites this paper.

Greedy dynamical meta-learning Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-31T23:37:15.914181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.