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Paper Citation Record · LEDGER

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:47:38.871696Z

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-24T15:31:29.677449Z digest=sha256:2bd4b784038c292e85f55e88b0ddec8f7b48879ed14e32aac015a27a548b3da4

Observation cdb2dc31-f769-49c1-a691-747002522c52 · inbound

Understand the Effectiveness of Shortcuts through the Lens of DCA cites this paper.

Understand the Effectiveness of Shortcuts through the Lens of DCA Residual Networks Behave Like Ensembles of Relatively Shallow Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T16:47:38.871696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:47:38.871696Z digest=sha256:b4f86a518329fa8214b146e3c4de8081b242ea74a3d4abe3b8b30c80de03933a

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.

source=pdf_text observed=2026-08-07T00:25:28.449709Z digest=sha256:51ffcf6cb5449b960919ae4b573e932ab70546fd880c306e50f029e9774db52c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-26T05:22:26.818078Z digest=sha256:60628881b991344bcc0394d490433a2f7454d51dbeffbf93ba4eadd60ec2b800

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.

source=pdf_text observed=2026-08-01T15:58:13.164778Z digest=sha256:63676f1bc6bbbc0ce2fc6351c394c91a0ccc3ca406a43e7d005825c9db8f08e0

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.

source=arxiv_source observed=2026-07-31T23:37:15.914181Z digest=sha256:44537115f49dc28d4ac3cc244a59873b5775399bc3164832d247ceb219f744ad