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 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:30:42.491474Z
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 db0adb5e-0248-4749-b689-490caae7e3c2 · inbound
Benchmarking the Robustness of Semantic Segmentation Models cites this paper.
Benchmarking the Robustness of Semantic Segmentation Models Why do deep convolutional networks generalize so poorly to small image transformations?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:30:42.491474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c34dca04-f50a-42d4-9aae-39c245786536 · inbound
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision cites this paper.
A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision Why do deep convolutional networks generalize so poorly to small image transformations?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:33:38.635992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.