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Paper Citation Record · LEDGER

Bag of Tricks for Image Classification with Convolutional Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1812.01187.

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

pith.paper-citation-record.v1
1812.01187 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:33:46.435368Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T02:49:25.127415Z

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 195169e9-6003-4dd1-a792-3bd823f26f57 · inbound

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks cites this paper.

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T00:33:46.435368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:33:46.435368Z digest=sha256:df13839d877b840f53963097f64d122fd3ea50215b76dc46c318e48b6b14861e

Observation 12e2afe5-65ec-4ed4-846e-95de370837d8 · inbound

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation cites this paper.

ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:06:34.870387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:06:34.870387Z digest=sha256:4ce44fc6cfcb8dae5eeea64f477c5e8cdc03133b89626df190cd46780f53947e

Observation 847255a4-4b15-4aa4-babd-154d85095049 · inbound

Signal-Based Malware Classification Using 1D CNNs cites this paper.

Signal-Based Malware Classification Using 1D CNNs Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:51.949323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:51.949323Z digest=sha256:e600b36e3cc7d7f3060421ea9046fe2cc6631e2db6a6c13aef0c677a50c4d6c0

Observation cf0edf5d-33e2-40ba-a0a3-bf2c9d8d6f97 · inbound

TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model cites this paper.

TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:25:57.505077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:22:08.070920Z digest=sha256:0a05c9681d85712ced2404026200b88c51aac0b577d59886f50bd9d59fc197e8

Observation b2924340-f08b-47ea-bfe6-838fce9c2c7d · inbound

Exploring Feature Extraction Technique Parameters for Acoustic Gunshot Classification cites this paper.

Exploring Feature Extraction Technique Parameters for Acoustic Gunshot Classification Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T02:49:25.128559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T18:59:09.772062Z digest=sha256:15b1202a6de005d65a8e656d87018710d96f3f789fa38766e0a8518a8f3d5277

Observation 2d934bfc-1018-4c3e-ac32-8291d240492d · inbound

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks cites this paper.

Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks Bag of Tricks for Image Classification with Convolutional Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T19:04:33.138972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:04:33.138972Z digest=sha256:0d4658de35dfacf00977ad4610772d486b42d7e361273b878e8d18909d5777e2