Paper Citation Record · LEDGER

Fixing the train-test resolution discrepancy

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1906.06423.

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

pith.paper-citation-record.v1
1906.06423 v4

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:59:54.963775Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:53:57.580772Z

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 e32ec44a-21b0-488e-9225-087865a55379 · inbound

Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency cites this paper.

Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency Fixing the train-test resolution discrepancy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:59:54.963775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d05cd5-8d55-48a1-9ef2-4e2a004314f8 · inbound

Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization cites this paper.

Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization Fixing the train-test resolution discrepancy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T06:04:07.066947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77b0eaf-5902-48e4-80b8-76f219141b99 · inbound

Masked Autoencoders Are Scalable Vision Learners cites this paper.

Masked Autoencoders Are Scalable Vision Learners Fixing the train-test resolution discrepancy

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:53:57.583605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e041fc1d-1ca7-45e8-b8b5-fa8fd0eb1697 · inbound

PaliGemma: A versatile 3B VLM for transfer cites this paper.

PaliGemma: A versatile 3B VLM for transfer Fixing the train-test resolution discrepancy

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:10:21.070852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.