Paper Citation Record · LEDGER

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1511.06348.

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

pith.paper-citation-record.v1
1511.06348 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:42.346866Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:01:14.011289Z

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 ace79fe6-ef6c-44e7-aea1-483b5ddc0049 · inbound

Comparative Analysis of Diffusion Generative Models in Computational Pathology cites this paper.

Comparative Analysis of Diffusion Generative Models in Computational Pathology How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:42.346866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1a4246-cd35-4d5f-bf05-fc8a952c1a25 · inbound

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting cites this paper.

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:50:55.227001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e7ea84-e6c1-4133-b869-a72af6e22ca6 · inbound

Provably effective detection of effective data poisoning attacks cites this paper.

Provably effective detection of effective data poisoning attacks How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:57:28.768351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae850477-2a49-4665-af32-a9041aadcbf2 · inbound

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems cites this paper.

Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T12:44:23.700957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59456d00-76ba-4cd8-8dd3-28ec7e4fb7c5 · inbound

Scaling Pre-training to One Hundred Billion Data for Vision Language Models cites this paper.

Scaling Pre-training to One Hundred Billion Data for Vision Language Models How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:30.668325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cce7a69-a793-481a-bb78-c776ecbb5e0a · inbound

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks cites this paper.

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:01:14.084310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d23665d8-c22b-4aec-858f-8291e7a3689a · inbound

Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps cites this paper.

Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T09:02:39.446623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.