Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Why do deep convolutional networks generalize so poorly to small image transformations?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.12177.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:19.139371Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:55.293418Z
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 7cc116aa-85c7-47b1-a9d7-e2e84425f1c8 · inbound
SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks cites this paper.
SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks Why do deep convolutional networks generalize so poorly to small image transformations?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:19:19.139371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86ed36c4-010f-4634-84af-36f34baa59f6 · inbound
Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs cites this paper.
Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs Why do deep convolutional networks generalize so poorly to small image transformations?
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:36:30.825299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 71493099-dd17-4ef8-95fc-c43d026e6be7 · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Why do deep convolutional networks generalize so poorly to small image transformations?
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:55.295196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.